Data Architect (Data Privacy) – Remote
Boston / $80 - $100 hour
INFO
RATE:
$80 - $100
LOCATION
Boston
Contract
Data Architect
**we will NOT be utilizing agencies or third parties for this role**
Location: Fully Remote (United States)Contract Length: 6 Months
Extension Potential: Yes
Rate: $80-$100 per hour
We are partnering with a technology-led organization undergoing a significant data transformation initiative to identify an experienced Data Architect (Data Privacy Focused). This engagement offers the opportunity to shape the future-state architecture of a modern cloud data platform, ensuring privacy, governance, and AI readiness are embedded at the core of the design.
Working closely with senior data and engineering stakeholders, you will be responsible for defining a scalable architecture that removes or minimizes customer personally identifiable information (PII) from analytical environments while maintaining business value and operational effectiveness.
Key Responsibilities
- Design a target-state data architecture that minimizes or removes customer PII from analytics environments.
- Define and implement a universal customer identifier strategy across the enterprise data estate.
- Provide expertise on identity resolution, pseudonymization, and privacy-centric data warehouse design.
- Develop a comprehensive migration strategy for existing warehouse tables and transformation models.
- Define integration requirements between the data platform and identity translation services.
- Assess the impact of architectural changes across reporting, analytics, and data products.
- Establish approaches for managing data subject deletion requests within the proposed architecture.
- Provide recommendations for integrating customer feedback and qualitative data sources.
- Produce detailed architectural designs, migration plans, and implementation-ready documentation for engineering teams.
Required Experience
- Demonstrated experience designing privacy-focused data architectures within enterprise environments.
- Deep expertise in identity resolution, pseudonymization, and customer identity management.
- Strong experience working with Snowflake and modern cloud-based data platforms.
- Proven knowledge of dbt and large-scale data warehouse migration programs.
- Experience delivering data governance, privacy, or regulatory compliance initiatives.
- Ability to produce detailed technical documentation and communicate effectively with both technical and non-technical stakeholders.
- Strong stakeholder management skills and the ability to balance governance, usability, and operational requirements.
Opportunity Highlights
- Fully remote engagement within the United States.
- Opportunity to influence a high-profile enterprise data transformation program.
- Direct collaboration with senior data and engineering leadership.
- Exposure to complex challenges spanning data privacy, governance, AI enablement, and modern data architecture.
CONTACT
Scott Abuso
Senior Recruitment Consultant
SIMILAR
JOB RESULTS
Data & Software Engineer (Contract)
London
£550 - £590
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Data & Software Engineer
£550-£590 per day | Outside IR35 | Fully Remote | 6-Month Contract
THE COMPANY
A leading digital business operating within a highly data-driven online environment is seeking a Data & Software Engineer to support the development of critical commercial and operational data platforms.
This organisation processes large volumes of transactional, revenue, and user performance data, using these insights to drive key business decisions. As part of a growing engineering function, they are investing heavily in their data ecosystem and require an experienced contractor to support several high-priority initiatives.
Candidates from online gaming, iGaming, betting, gambling, esports, or other high-volume digital platforms are particularly encouraged to apply.
THE ROLE
As a Data & Software Engineer, you’ll work across backend engineering, data processing, and systems integration, helping to enhance platforms that provide commercial visibility across the business.
You’ll be responsible for building and maintaining data-driven applications, integrating external partners, and streamlining data exchange across internal systems. Working closely with Data Engineering and Analytics teams, you’ll help ensure critical reporting and performance metrics remain accurate, scalable, and fit for business decision-making.
This is an opportunity to work in a genuinely impactful role where your solutions will be used directly by stakeholders to shape commercial strategy and operational performance.
RESPONSIBILITIES
- Develop and maintain backend services supporting commercial reporting and operational data products
- Process and manage large-scale commercial and revenue datasets
- Build integrations with external partners and third-party platforms
- Develop integrations between internal systems to improve data accessibility and efficiency
- Collaborate with Data Engineers and Analytics teams on reporting and insight generation
- Support initiatives focused on user and performance data
- Improve data quality, reliability, and scalability across critical business systems
- Deliver enhancements to existing data and reporting platforms
SKILLS AND EXPERIENCE
Essential
- Strong commercial experience with PHP
- Strong commercial experience with Python
- Excellent PostgreSQL skills
- Proven Backend Engineering background
- Experience building APIs and system integrations
- Experience working within complex, data-intensive environments
- Strong understanding of software engineering best practices
Desirable
- Airflow
- Snowflake
- AWS
- Exposure to data warehousing and modern analytics platforms
- Experience supporting reporting, commercial analytics, or performance data solutions
IDEAL BACKGROUND
We’re especially interested in individuals with experience in:
- Online Gaming
- iGaming
- Betting & Gambling
- Sportsbook
- Esports
- High-transaction E-commerce
- Digital Marketplace Platforms
- Subscription-Based Businesses
You’ll have experience managing complex requests, integrating multiple data sources, and working in environments where business-critical decisions depend on accurate, timely data.
BENEFITS
- £550-£590 per day
- Outside IR35
- Fully Remote
- Initial 6-Month Contract
- Opportunity for extension
- High-impact role working with large-scale commercial and performance data
Interested? Apply now with your latest CV to discuss the opportunity in more detail.
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Senior Product Analyst
£65000 - £70000
+ Advanced Analytics & Marketing Insights
PermanentEngland
To Apply for this Job Click Here
Senior Product Analyst
Remote (Must be UK-based, team meet-ups)
Up to £70,000
This is an opportunity to join a high-growth digital business where analytics is at the heart of product decision-making. You’ll partner closely with product leaders to shape acquisition, conversion and activation strategies, using data to influence roadmap decisions and deliver measurable commercial impact.
The Company
They are a fast-growing, subscription-based digital platform with a global customer base and a strong product-led culture. Backed by significant investment, the business is scaling rapidly and continues to invest heavily in both its product and data capabilities.
Their analytics function sits within Product and works closely with Engineering, UX, Design and Marketing. With a collaborative and mission-driven culture, they offer the opportunity to work on unique customer journeys and complex product challenges while maintaining a high degree of autonomy and ownership.
The Role
As a Senior Product Analyst, you will focus on customer acquisition and conversion within the product experience, helping teams understand user behaviour and identify opportunities to improve growth.
Responsibilities include:
* Leading product analytics across acquisition, activation and conversion journeys
* Conducting funnel analysis to understand customer behaviour and identify friction points
* Designing and evaluating A/B tests and experimentation frameworks
* Defining event tracking requirements and success metrics for new product features
* Using behavioural data to influence product strategy and roadmap decisions
* Building dashboards and self-service reporting solutions for stakeholders
* Translating complex analysis into clear recommendations and business outcomes
* Partnering with Product, Engineering and Design teams to drive customer growth
* Challenging assumptions and contributing to product discovery activities
* Supporting best practice across analytics, experimentation and insight generation
Your Skills & Experience
You will bring:
* Advanced SQL skills
* Strong commercial experience in Product Analytics
* Experience working with event tracking tools such as Amplitude, Mixpanel or similar platforms
* Hands-on experience running and analysing A/B tests and experimentation programmes
* Proven ability to influence product decisions through data and insight
* Strong stakeholder management and communication skills
* Experience operating autonomously within a cross-functional environment
* A track record of delivering measurable improvements in product performance, conversion or growth
Desirable experience includes:
* Product Growth Analytics
* Subscription, SaaS, marketplace or platform businesses
* Customer lifecycle, retention, churn or LTV analysis
* Dashboard development and data visualisation
* Python, R or dbt
What They Offer
* Quarterly company offsites, fully funded
* Discretionary bonus scheme
* Private healthcare and additional wellbeing benefits
* Home office allowance and equipment support
* Ongoing learning and development opportunities
* Clear scope to influence product strategy and grow within a developing analytics function
How to Apply
If you’re a commercially minded Senior Product Analyst who enjoys solving complex product challenges and driving growth through data, apply today to learn more about this opportunity.
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Data Architect (Data Privacy)
$70 - $95
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Job Title
Data Architect (Data Privacy)
Intro Harnham
Harnham is partnering with a technology-led organisation undergoing a major data transformation initiative. We are seeking a Data Privacy Architecture Consultant to help define the future state of their cloud data platform.
Intro client
Our client is investing heavily in modern data architecture, governance, and privacy capabilities. They are looking to establish a sustainable and scalable approach to managing customer data while enabling future analytics and AI initiatives.
Role Details
Role: Data Privacy Architecture Consultant
Location: Fully Remote (United States)
Pay: $70 to $95 per hour
Length: 6-month contract
Utilisation: 40 hours per week
Intro to role
This engagement focuses on designing a privacy-first architecture for a modern enterprise data platform. You will partner closely with data engineering and business stakeholders to define how customer identity should be managed while reducing the use of PII throughout analytical environments.
The outcome will be a detailed architectural blueprint, migration roadmap, and implementation recommendations that internal engineering teams can execute.
Key Responsibilities
- Design a privacy-focused target state architecture for analytics and reporting environments
- Define approaches for customer identity resolution, pseudonymization, and universal identifiers
- Create migration plans for existing warehouse assets and transformation models
- Assess impacts across reporting, analytics, operational systems, and downstream data products
- Define integration patterns between identity management services and cloud data platforms
- Produce implementation-ready technical documentation and architecture artefacts
Requirements: Must Have
- Strong experience designing privacy-centric data architectures
- Expertise in identity resolution, pseudonymization, or customer identity management
- Hands-on experience with Snowflake
- Strong dbt experience, including warehouse transformation and migration initiatives
- Experience delivering governance, privacy, or compliance-focused data programs
- Excellent stakeholder communication and documentation skills
Nice to Have
- Experience supporting AI-readiness initiatives
- Exposure to customer identity platforms or MDM solutions
- Experience designing deletion workflows or data subject rights processes
- Background in regulated industries
Outro
This is an opportunity to influence a long-term data platform strategy while solving complex privacy and governance challenges. If you enjoy designing scalable architectures that balance compliance, usability, and business value, we’d love to speak with you.
WE WILL NOT UTILIZE THIRD PARTIES FOR THIS SEARCH
To Apply for this Job Click Here
Data Architect (Data Privacy) – Remote
Boston
$80 - $100
+ Data Engineering
ContractBoston, Massachusetts
To Apply for this Job Click Here
Data Architect
**we will NOT be utilizing agencies or third parties for this role**
Location: Fully Remote (United States)
Contract Length: 6 Months
Extension Potential: Yes
Rate: $80-$100 per hour
We are partnering with a technology-led organization undergoing a significant data transformation initiative to identify an experienced Data Architect (Data Privacy Focused). This engagement offers the opportunity to shape the future-state architecture of a modern cloud data platform, ensuring privacy, governance, and AI readiness are embedded at the core of the design.
Working closely with senior data and engineering stakeholders, you will be responsible for defining a scalable architecture that removes or minimizes customer personally identifiable information (PII) from analytical environments while maintaining business value and operational effectiveness.
Key Responsibilities
- Design a target-state data architecture that minimizes or removes customer PII from analytics environments.
- Define and implement a universal customer identifier strategy across the enterprise data estate.
- Provide expertise on identity resolution, pseudonymization, and privacy-centric data warehouse design.
- Develop a comprehensive migration strategy for existing warehouse tables and transformation models.
- Define integration requirements between the data platform and identity translation services.
- Assess the impact of architectural changes across reporting, analytics, and data products.
- Establish approaches for managing data subject deletion requests within the proposed architecture.
- Provide recommendations for integrating customer feedback and qualitative data sources.
- Produce detailed architectural designs, migration plans, and implementation-ready documentation for engineering teams.
Required Experience
- Demonstrated experience designing privacy-focused data architectures within enterprise environments.
- Deep expertise in identity resolution, pseudonymization, and customer identity management.
- Strong experience working with Snowflake and modern cloud-based data platforms.
- Proven knowledge of dbt and large-scale data warehouse migration programs.
- Experience delivering data governance, privacy, or regulatory compliance initiatives.
- Ability to produce detailed technical documentation and communicate effectively with both technical and non-technical stakeholders.
- Strong stakeholder management skills and the ability to balance governance, usability, and operational requirements.
Opportunity Highlights
- Fully remote engagement within the United States.
- Opportunity to influence a high-profile enterprise data transformation program.
- Direct collaboration with senior data and engineering leadership.
- Exposure to complex challenges spanning data privacy, governance, AI enablement, and modern data architecture.
To Apply for this Job Click Here
Senior Data Platform Engineer
Los Angeles
$160000 - $200000
+ Data Engineering
PermanentLos Angeles, California
To Apply for this Job Click Here
Senior Data Platform Engineer
Location: Los Angeles, CA
Salary: $160-200k base
We’re partnering with a fast-scaling, mission-driven advanced technology company building complex software and hardware systems deployed in real-world environments. Their platform processes and operationalizes high-volume data to power critical decision-making across the organization.
They are hiring a Senior Data Platform Engineer to design and scale the core data infrastructure that supports company-wide operations.
The Role
As a Senior Engineer on the Data Platform team, you will:
- Design and build scalable data pipelines and transformation frameworks
- Own ingestion and egress systems that unify multiple operational data sources
- Develop reliable, secure data models that power internal data products and applications
- Partner with engineering, product, and operations to translate business needs into production-grade systems
- Advocate for best practices across testing, CI/CD, data modeling, and security
- Debug and optimize complex transformation pipelines in production environments
What They’re Looking For
- 5+ years of experience in data engineering or backend engineering
- Strong programming skills in Python or similar languages
- Experience with Spark, PySpark, SQL, and dbt
- Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP)
- Experience with containerization and modern deployment practices
- Ability to operate autonomously in fast-moving environments
- Strong ownership mindset and attention to security best practices
- Must be a U.S. Person due to export-controlled information requirements
This is a high-impact role focused on building durable data systems that directly support operational execution at scale.
To Apply for this Job Click Here
Staff Data Platform Engineer
San Francisco
$200000 - $245000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Staff Data Platform Engineer
US Remote
$200-245k base + Equity
We’re working with a rapidly expanding consumer tech startup that recently raised $125M in Series D funding. As they continue to scale, they’re looking to hire a Staff Data Engineer to join their growing data team. If you have a strong foundation in software engineering, a collaborative mindset, and a passion for driving data strategy, this is the opportunity for you!
The Role:
As a Staff Data Engineer, you’ll be a crucial part of the team, ensuring data is accessible, reliable, and actionable across the company. Working alongside engineers, data scientists, and business teams, you’ll help build scalable data platforms that drive key business initiatives and enable data-driven decision-making.
What You’ll Do:
- Collaborate with engineering, data science, and business teams to understand data needs and implement effective solutions aligned with business objectives.
- Design and build scalable data infrastructure and pipelines to handle high volumes of data as the company grows.
- Lead the design and optimization of data architecture, ensuring it’s secure, high-performing, and scalable.
- Improve and streamline data pipelines to provide fast, reliable access to high-quality data.
- Contribute to the design of reporting frameworks and analytics tools that empower teams to make data-driven decisions.
- Work with security teams to ensure data privacy and compliance standards are met.
- Mentor junior engineers, share expertise, and promote best practices across the team.
- Stay updated on new technologies and suggest improvements to enhance processes and tool efficiency.
You’re a Great Fit If:
- You have 7+ years of experience in data engineering.
- You’ve worked at a leading consumer tech company known for engineering excellence.
- You’re an expert in SQL, Python, and data platform development.
- Nice-to-have: Familiarity with AWS, Kubernetes, Redshift, Athena, S3, and Airflow.
- You have hands-on experience with complex data infrastructures and optimizing data pipelines.
- You’ve led large-scale data projects that had a significant impact on your organization.
- You thrive in collaborative environments and have strong communication skills.
- You have an ownership mindset and take responsibility for delivering results.
To Apply for this Job Click Here
Staff Data Analyst, Product Analytics
San Francisco
$200000 - $240000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
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Staff Product Analyst
Location: San Francisco (Remote Eligible)
Salary: $200K-$240K base + Equity
We’re hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities.
What You’ll Do:
- Shape product strategy with data-driven insights – Define key metrics, track user behavior, and identify trends that impact engagement and retention.
- Deep-dive into user journeys – Uncover friction points and growth levers to enhance adoption, conversion, and retention.
- Optimize experimentation and A/B testing – Design and analyze tests to improve product features, pricing, and personalization strategies.
- Develop self-service analytics tools – Build dashboards and automated reporting to empower teams with real-time data.
- Partner with Product, Engineering & Leadership – Translate complex data into clear, actionable recommendations to improve product performance and business outcomes.
What We’re Looking For:
- 7+ years of experience in Product Analytics, preferably within high-growth tech companies.
- Expert SQL skills and experience working with large-scale product datasets.
- Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation.
- Hands-on experience with A/B testing methodologies and user segmentation.
- Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard.
- Strong executive communication skills, with the ability to influence product decisions through data.
- Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.
To Apply for this Job Click Here
Staff Growth Analyst
San Francisco
$20000 - $240000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
To Apply for this Job Click Here
Staff Growth Product Analyst
US Remote
$200-240k base + equity
About the Role:
We’re looking for a Staff Growth Product Analyst to drive impactful growth analytics for an innovative AI-driven development platform that’s transforming how developers create and deploy user interfaces. Leveraging cutting-edge AI technologies, this platform enables rapid prototyping and significantly accelerates product development, enhancing user growth, engagement, and overall developer experience.
Role Highlights:
- Deep dive into user behaviors, journeys, and growth funnels to uncover opportunities for enhanced engagement and acquisition.
- Generate actionable insights aimed at boosting critical growth metrics like DAU, MAU, and user retention.
- Design, execute, and analyze A/B tests to drive informed decision-making and product improvements.
- Influence strategic decision-making through rigorous data analysis and compelling recommendations.
- Collaborate cross-functionally with product managers, engineers, data scientists, and growth marketers to drive continuous product improvement and iteration.
Who You Are:
- You have 7+ years of proven expertise in growth and product analytics, ideally within early-stage or innovation-driven product environments.
- You’re adept at conducting thorough funnel analyses, spotting rapid experimentation opportunities, and recommending actionable product enhancements.
- You thrive on solving complex analytical problems with high energy and intellectual rigor.
- Experienced with modern data stack (e.g., Snowflake, dbt, Preset, Hashboard, Kafka, Fivetran, Omni, Hex, Sigma, SQL, Python).
- You have previous experience (or a strong interest) in working with AI or machine learning-driven products.
Ideal Fit: You’re a driven, collaborative analytics expert passionate about influencing groundbreaking products. Excited by high-paced, innovative environments, you’re motivated by measurable impact and shaping the future of developer-focused, AI-powered technologies.
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Staff Product Analyst
$200000 - $250000
+ Advanced Analytics & Marketing Insights
PermanentCalifornia
To Apply for this Job Click Here
Staff Data Analyst, Product Analytics
Location: Remote
Salary: $200-250k
Join a rapidly growing, Series C cloud platform company recognized for innovation and leadership in modern technology. This high-impact role offers the opportunity to drive strategy, shape growth, and turn complex data into actionable insights that improve product performance and streamline operational efficiency.
About the Role
The Staff Data Analyst will play a key role in defining critical business metrics, creating scalable visualizations, and automating reporting systems. The position involves collaborating across teams to uncover insights, streamline processes, and optimize data usage to support growth.
Key Responsibilities
- Develop and implement key business metrics to measure performance and identify opportunities.
- Create dynamic visualizations and automate reporting workflows to support decision-making.
- Build and enhance analytics datasets to optimize growth strategies and reduce costs.
- Collaborate with product, business, and leadership teams to deliver data-driven solutions.
- Prototype dashboards and data tools to improve workflows and promote best practices.
- Support data accessibility by maintaining analytical technologies that ensure timely access to data.
- Shape the analytics roadmap, aligning data initiatives with organizational goals.
About You
- 6+ years of experience in a data-focused role such as Data Analyst, Product Analyst, or Business Analyst.
- Proficient in SQL and experienced in working with complex datasets.
- Familiarity with Python or R and applied statistics.
- Expertise in ELT data modeling and tools like Hashboard, Looker, or Omni.
- Strong communication skills with the ability to translate data into actionable insights.
- Adept at collaborating in a fast-paced, cross-functional environment.
This is an opportunity to join a dynamic team where data is at the core of driving decisions and innovation. If you’re passionate about transforming data into meaningful outcomes and enjoy working on high-impact projects, this role offers the chance to make a lasting contribution.
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Staff Analytics Engineer
$200000 - $250000
+ Data Engineering
PermanentCalifornia
To Apply for this Job Click Here
Staff Analytics Engineer
Location: Remote
Salary: $200-250k
Are you a data expert ready to drive transformative analytics at a cutting-edge cloud platform company? This fast-growing Series C innovator is revolutionizing how teams build, preview, and deploy high-performance digital applications.
About the Role
The Staff Analytics Engineer will lead the design and implementation of robust data models and pipelines, enabling business units to uncover insights and make data-driven decisions. This role is a unique chance to collaborate with engineering, product, and business teams, building scalable analytics systems that power operational efficiency and growth.
Key Responsibilities
- Design and maintain scalable data models and pipelines to serve as a single source of truth across the enterprise.
- Develop tools to enhance data accessibility, auditing, and validation, ensuring consistent, trustworthy datasets.
- Partner with cross-functional teams to uncover actionable insights and support decision-making.
- Build self-service analytics tools and dashboards for key stakeholders, streamlining workflows.
- Collaborate on advancing the company’s data platform using cutting-edge tools like dbt, Snowflake, and Superset.
- Lead initiatives to improve data quality, governance, and discoverability, ensuring alignment with business goals.
About You
- 8+ years of experience in analytics engineering or a similar role in a modern tech company.
- Advanced proficiency in SQL, with experience working on complex datasets.
- Expertise in data platforms like Snowflake or BigQuery and transformation tools like dbt.
- Familiarity with programming languages such as Python, Java, or Go.
- Experience with BI tools like Hashboard or Superset, and a strong grasp of schema design and dimensional modeling.
- Strong communication skills and the ability to collaborate in a fast-paced environment.
Be part of a forward-thinking team where data is at the core of every decision. If you’re passionate about transforming data into meaningful insights, this role offers the chance to work on impactful projects, collaborate with top talent, and make a lasting difference.
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Senior Analytics Engineer
Los Angeles
$150000 - $200000
+ Data Engineering
PermanentLos Angeles, California
To Apply for this Job Click Here
Senior Analytics Engineer
Location: Los Angeles, CA (Hybrid)
Salary: $150-200k base
We’re partnering with a rapidly scaling, mission-focused advanced technology company operating at the intersection of AI, hardware, and large-scale systems. Their software platform aggregates and operationalizes complex, real-time data to power critical decision-making in high-stakes environments.
As the company continues to grow, they are hiring a Senior Analytics Engineer to help architect and scale the core data foundation of the business.
The Opportunity
You will design and implement the core data models that represent how the organization operates across functions such as Finance, Supply Chain, Manufacturing, People, and Operations. These models will power internal applications, workflows, and metrics used by leadership to run the business.
You’ll sit at the intersection of analytics, engineering, and operations, helping build a scalable “digital twin” of a fast-moving, technically complex organization.
What You’ll Do
- Define and develop domain-level data models that reflect real business operations
- Build secure, scalable, and extensible transformations and data pipelines
- Own ingestion and egress frameworks across multiple source systems
- Contribute to architectural decisions and roadmap direction for the data platform
- Partner cross-functionally with engineering, product, and operations stakeholders
- Translate ambiguous business questions into structured, production-grade data systems
- Drive adoption of self-serve data applications beyond traditional BI
What They’re Looking For
- 5+ years of experience in Analytics Engineering, Data Engineering, or highly technical analytics roles
- Advanced SQL skills and strong experience with Python or similar languages
- Demonstrated success building scalable, reusable data models in fast-paced environments
- Experience with modern data stack tools such as dbt, Redshift, and BI platforms; exposure to enterprise data platforms is a plus
- High degree of ownership and comfort operating autonomously
- Strong communication skills and ability to partner with non-technical stakeholders
- Ability to obtain and maintain a U.S. Secret security clearance
This is a high-impact opportunity to shape foundational data systems inside a company solving complex, real-world problems at scale. If you’re excited by building data applications that influence how an organization operates, click apply to learn more.
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Staff Data Engineer
San Francisco
$220000 - $300000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Staff Data Engineer
San Francisco, CA
$240K-$300K base + equity
We’re partnered with one of the most recognized developer platforms in the world, trusted by engineering teams at OpenAI, Meta, Netflix, and Adobe, who are scaling their data platform and looking to hire a Senior Data Engineer to own the pipelines and foundations at the core of their data ecosystem.
You’ll own the full pipeline lifecycle, from ingestion architecture through to analytics-ready data, working closely with Data Platform Engineers and partnering with analysts and data scientists who depend on what you build every day.
What You’ll Do
- Design and build scalable ingestion pipelines and orchestration frameworks across structured, semi-structured, and event-based sources
- Own reliability, observability, and performance across the full pipeline lifecycle from raw ingestion to analytics-ready delivery
- Build and maintain dbt transformation pipelines serving as the single source of truth across Finance, Product, GTM, and Engineering
- Ensure revenue and billing data meets the accuracy and auditability required for public company reporting, including SOX compliance
- Apply software engineering principles throughout: CI/CD, testing, observability, version control, and automation
- Enable self-serve analytics through semantic layer development, strong abstractions, and clear documentation
- Champion data quality and governance across classification, ownership, access policies, and data lifecycle management
What We’re Looking For
- 8+ years in data engineering or a hybrid data/analytics engineering role, with a track record of owning pipelines end-to-end in high-growth or enterprise environments
- Advanced SQL and dbt (Core or Cloud), Snowflake or comparable cloud data warehouse, Python, and Airflow
- Deep experience with Kafka and streaming data systems, with strong working knowledge of ClickHouse, Iceberg, or similar technologies
- Experience with ingestion tools such as Fivetran, Airbyte, or Polytomic
- Cloud-native architecture expertise across AWS, GCP, or Azure
- Experience designing and scaling data systems to support petabyte-level workloads
- Track record of building data infrastructure that meets compliance and governance requirements, including SOX or equivalent
- Strong communication and collaboration skills, with the ability to operate as a senior technical voice across engineering and business stakeholders
To Apply for this Job Click Here
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