Staff Data Analyst – GTM Analytics
San Francisco / $200000 - $250000 annum
INFO
SALARY:
$200000 - $250000
LOCATION
San Francisco
Permanent
Staff Data Analyst - GTM
Location: Remote
Salary: $200-250k
This fast-growing, Series C cloud platform company is at the forefront of technological innovation, delivering cutting-edge solutions that drive industry transformation. The organization is seeking a highly skilled Staff Data Analyst to lead Go-to-Market (GTM) analytics efforts, enabling strategic growth and turning complex datasets into actionable insights to optimize GTM performance and operational efficiency.
About the Role
This position is central to defining and implementing data strategies that empower GTM teams. By developing metrics, automating reporting, and delivering insightful analyses, the Staff Data Analyst will play a critical role in optimizing growth strategies and ensuring data-driven decision-making.
Key Responsibilities
- Define and implement key GTM metrics to evaluate performance and uncover growth opportunities.
- Conduct in-depth analysis of complex datasets to deliver actionable GTM insights.
- Collaborate with cross-functional teams to identify root causes, refine processes, and inform strategic initiatives.
- Automate reporting workflows and create interactive dashboards to support leadership decision-making.
- Build and enhance datasets for growth optimization and cost reduction initiatives.
- Develop data accessibility solutions, ensuring timely and structured access to insights for all stakeholders.
- Shape the GTM analytics roadmap, aligning data projects with broader organizational goals.
About You
- 6+ years in analytics roles, with expertise in SaaS and product-led growth (PLG) business models.
- Advanced proficiency in SQL and experience with tools such as Looker, Hashboard, or Omni. Familiarity with Python or R and statistical modeling.
- Demonstrated ability to interpret trends, conduct root cause analysis, and deliver data-driven recommendations that influence strategy.
- Strong ability to present complex findings clearly to both technical and non-technical audiences.
- Proven success working in fast-paced, cross-functional environments to drive high-impact outcomes.
This is a unique opportunity to join a dynamic, data-driven organization and make a significant impact on the success of its GTM strategy. If you're passionate about using data to drive innovation and thrive in a high-growth environment, this role is for you!
CONTACT
Joshua Poore
VP Recruiting – Data Science, ML & AI
SIMILAR
JOB RESULTS
AI Implementation Project Manager
New York
$35 - $40
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Job Title
AI Implementation Project Manager (Contract)
Intro Harnham
Harnham is partnering with a consulting‑led enterprise consulting firm to support large‑scale AI delivery. This is a contract role focused on execution, governance, and senior stakeholder engagement.
Intro client
You will join a well‑established consulting environment supporting a major financial services organisation. The firm operates in a highly regulated setting where AI delivery must meet strict compliance and data controls.
Role Details
- Role type: Contract AI Implementation PM
- Location: Remote, EST-based with potential NYC meetings
- Contract length: Initial 12 months with potential extension
- Utilisation: Full‑time
- Pay range: $35-$40 per hour
Intro to role
This role supports enterprise AI initiatives from early concept through implementation. You will work closely with business leaders, engineers, and governance groups to shape use cases, document requirements, and ensure delivery aligns with internal AI policies. The environment prioritises control, auditability, and risk management.
Key Responsibilities
- Gather and translate business requirements into BRDs and functional specs.
- Partner with technical teams to shape feasible AI use cases.
- Manage delivery plans, dependencies, and risks across AI initiatives.
- Prepare and present materials for senior leadership and approval committees.
- Ensure AI work complies with internal data, model, and security standards.
Requirements: Must have
- Proven experience as a Project Manager on AI or advanced analytics initiatives.
- Strong background producing BRDs and FSDs with technical teams.
- Experience working in regulated or compliance‑heavy environments.
- Confidence presenting to senior stakeholders and governance forums.
- Strong delivery focus with clear ownership of outcomes.
Nice to have
- Financial services or banking domain exposure.
- Experience working with internal or private LLM platforms.
Outro
This is a strong opportunity for an AI‑focused PM who thrives in structured, high‑accountability environments. Apply through Harnham to discuss further details.
WE WILL NOT BE UTILIZING THIRD PARTIES FOR THIS SEARCH. INTERESTED CANDIDATES PLEASE APPLY DIRECTLY
To Apply for this Job Click Here
Senior Research Engineer
$55 - $65
+ Data Science & AI
ContractUSA
To Apply for this Job Click Here
Job Title
Senior Research Engineer (Machine Learning, Data Platforms)
Intro Harnham
Harnham is supporting a global organization at the forefront of data and machine learning innovation. This role sits within a specialised engineering team delivering high‑impact ML systems at scale.
Intro client
The client is a large international data and technology organisation building advanced platforms used for large‑scale data analysis, entity resolution, and investigative workflows.
Role Details
- Role: Senior Research Engineer
- Location: Remote, EST preferred
- Pay Range: $55-$65 per hour
- Length: 6 months contract with potential extension
- Start: ASAP (target mid June 2026)
- Utilization: Full time
Intro to role
This role sits within a team focused on large‑scale data processing and entity matching. The work involves building the underlying systems and pipelines that allow machine learning models to operate efficiently across extremely large datasets. It is more engineering‑focused than research, centred on scalability, performance, and production delivery.
Key Responsibilities
- Build and optimise large‑scale data pipelines for machine learning workloads
- Support migration of data infrastructure to modern cloud platforms (Snowflake)
- Deploy and run machine learning models in production environments
- Improve performance and scalability of systems handling billions of records
- Collaborate with data scientists to productionise research models
- Contribute to CI/CD, DevOps, and system reliability practices
Requirements
Must have
- 5 plus years of software engineering experience
- 2 plus years working on production machine learning systems
- Strong Python development experience
- Experience building scalable data pipelines
- Experience with SQL and relational databases
- Cloud experience, ideally AWS
Nice to have
- Experience with Snowflake or large‑scale data platforms
- Familiarity with traditional ML tools (scikit‑learn, XGBoost)
- Experience with entity resolution, matching, or deduplication
- Understanding of MLOps or ModelOps concepts
- Additional programming languages (Java, Scala, etc.)
Outro
This role is well suited to an engineer who prefers building production systems over pure research, and who enjoys solving complex data challenges at scale within a high‑impact environment.
WE WILL NOT BE UTILIZING THIRD PARTIES FOR THIS SEARCH. CANDIDATES, PLEASE APPLY DIRECTLY
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Senior Research Engineer (ML & Data)
$55 - $65
+ Data Engineering
ContractUSA
To Apply for this Job Click Here
Start Date: ASAP
Contract: 6 months
Location: Remote (comfortable working with colleagues located in Europe)
About the Role
We’re looking for a Senior Research Engineer (ML & Data) to join a high-performing team focused on building scalable machine learning solutions in a production environment. This role offers the opportunity to work across the full software development lifecycle, partnering closely with research and engineering teams to translate advanced models into real-world impact.
**We will NOT be engaging with third part agencies on this role**
What You’ll Do
-
Design & Deliver:
Build, test, and deploy high-quality software using modern development practices across the full SDLC. -
Develop Scalable ML Systems:
Create and maintain large-scale data pipelines to support the training and deployment of machine learning models (e.g., entity recognition and matching) across high-volume data sets. -
Collaborate Cross-Functionally:
Work closely with researchers, data scientists, and engineering teams in a collaborative, globally distributed environment. -
Drive Agile Execution:
Contribute in a fast-paced, iterative environment with a strong focus on timely delivery and continuous improvement. -
Innovate & Experiment:
Explore new technologies and approaches, contributing to the evolution of platform capabilities and engineering practices. -
Communicate Effectively:
Clearly articulate technical concepts and solutions to both technical and non-technical stakeholders.
What We’re Looking For
Required Experience
- Bachelor’s degree in Computer Science or a related field (or equivalent experience)
- 5+ years of software engineering experience
- 2+ years delivering production-grade machine learning solutions
- Strong proficiency in Python and its ecosystem
- Experience building clean, maintainable, and well-tested code
- Proven ability to quickly adopt new technologies to solve complex challenges
- Experience working closely with data science teams to productionize research
- Hands-on experience with cloud environments (preferably AWS)
- Familiarity with Agile methodologies, CI/CD, DevOps, and SDLC best practices
- Strong interest in practical applications of machine learning
Preferred Experience
- Experience integrating ML models into production systems (e.g., scikit-learn, XGBoost)
- Exposure to big data platforms (e.g., Snowflake) and scalable SQL
- Understanding of MLOps / ModelOps principles
- Experience with entity matching or entity resolution at scale
- Ability to bridge research and engineering workflows effectively
- Experience with additional programming languages (e.g., Java, Scala, Rust, TypeScript)
If you’re a hands-on engineer who enjoys turning cutting-edge research into production-ready systems, this is an excellent opportunity to make a measurable impact.
To Apply for this Job Click Here
AI Readiness Consultant
New York
$65 - $80
+ Data Management & Governance
ContractNew York
To Apply for this Job Click Here
Job Title
AI SME / AI Readiness Expert (Contract)
Intro Harnham
Harnham is supporting a senior AI advisory engagement for a consulting‑led enterprise transformation project. This role sits at the intersection of strategy, governance, and executive decision‑making.
Intro client
You will advise a large, regulated financial organization at a pivotal moment in its AI journey. The initiative has strong executive sponsorship and high visibility across the business.
Role Details
- Role type: AI SME / AI Readiness Expert (Strategic Advisory)
- Location: Remote, EST hours (occasional office visits in NYC optional)
- Contract length: Initial 4 months with potential extension
- Utilization: Full‑time, 40 hours per week
Intro to role
This is a senior advisory role focused on understanding current AI maturity and defining a practical path forward. You will evaluate capabilities, benchmark against peer institutions, and help leadership make informed decisions on AI investment and delivery. The environment is heavily regulated, with tight controls around data and model usage.
Key Responsibilities
- Assess current enterprise AI maturity across people, process, and technology.
- Build enterprise‑level AI readiness assessments and roadmaps.
- Benchmark AI capabilities against peer European banking institutions.
- Advise senior leadership on compliant AI implementation approaches.
- Translate regulatory constraints into practical delivery guidance.
- Support executive decision‑making with clear, structured recommendations.
Requirements: Must have
- Senior‑level experience advising on AI strategy or AI readiness.
- Strong understanding of AI governance, risk, and regulatory constraints.
- Experience working with large, regulated financial services organizations.
- Proven ability to present and influence C‑suite or executive leadership.
- Structured approach to maturity assessments and roadmapping.
Nice to have
- Direct exposure to European or French banking environments.
- Experience working alongside COO‑led or enterprise transformation projects.
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 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.
To Apply for this Job Click Here
Senior Analytics Engineer
Los Angeles
$150000 - $200000
+ Data Engineering
PermanentLos Angeles, California
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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 Analyst – GTM Analytics
San Francisco
$200000 - $250000
+ Advanced Analytics & Marketing Insights
PermanentCalifornia
To Apply for this Job Click Here
Staff Data Analyst – GTM
Location: Remote
Salary: $200-250k
This fast-growing, Series C cloud platform company is at the forefront of technological innovation, delivering cutting-edge solutions that drive industry transformation. The organization is seeking a highly skilled Staff Data Analyst to lead Go-to-Market (GTM) analytics efforts, enabling strategic growth and turning complex datasets into actionable insights to optimize GTM performance and operational efficiency.
About the Role
This position is central to defining and implementing data strategies that empower GTM teams. By developing metrics, automating reporting, and delivering insightful analyses, the Staff Data Analyst will play a critical role in optimizing growth strategies and ensuring data-driven decision-making.
Key Responsibilities
- Define and implement key GTM metrics to evaluate performance and uncover growth opportunities.
- Conduct in-depth analysis of complex datasets to deliver actionable GTM insights.
- Collaborate with cross-functional teams to identify root causes, refine processes, and inform strategic initiatives.
- Automate reporting workflows and create interactive dashboards to support leadership decision-making.
- Build and enhance datasets for growth optimization and cost reduction initiatives.
- Develop data accessibility solutions, ensuring timely and structured access to insights for all stakeholders.
- Shape the GTM analytics roadmap, aligning data projects with broader organizational goals.
About You
- 6+ years in analytics roles, with expertise in SaaS and product-led growth (PLG) business models.
- Advanced proficiency in SQL and experience with tools such as Looker, Hashboard, or Omni. Familiarity with Python or R and statistical modeling.
- Demonstrated ability to interpret trends, conduct root cause analysis, and deliver data-driven recommendations that influence strategy.
- Strong ability to present complex findings clearly to both technical and non-technical audiences.
- Proven success working in fast-paced, cross-functional environments to drive high-impact outcomes.
This is a unique opportunity to join a dynamic, data-driven organization and make a significant impact on the success of its GTM strategy. If you’re passionate about using data to drive innovation and thrive in a high-growth environment, this role is for you!
To Apply for this Job Click Here
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.
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
Principal Software Engineer – Data Platform
San Francisco
$230000 - $280000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Principal Software Engineer – Data Platform
San Francisco, CA (Remote Eligible – US Only)
$230K-$280K base + equity
Are you ready to lead the design and build of a world-class data platform from the ground up?
A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.
As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.
Why this role?
- Join a growing Data Platform team
- Own the technical vision and architecture end-to-end
- Tackle petabyte-scale data challenges and real-time streaming use cases
- Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
- Drive platform evolution to support AI/ML and company-wide analytics
What You’ll Do
- Design and build a next-gen data platform to power product and internal use cases
- Architect for batch + streaming, scalability, fault tolerance, and low latency
- Lead data modeling, warehousing, governance, and ingestion best practices
- Champion engineering excellence and mentor senior engineers
- Align technical decisions with long-term business strategy
- Optimize for performance, cost, and resiliency in a modern cloud environment
What We’re Looking For
- 8+ years of experience in data engineering or platform architecture
- 5+ years at the Principal Engineer level or equivalent
- Deep expertise with Kafka (and its ecosystem), streaming data systems
- Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
- Cloud-native architecture expertise (AWS, GCP, or Azure)
- Track record of designing data systems for compliance and governance
- Experience scaling systems to support petabyte-level workloads
- Excellent communication, collaboration, and leadership skills
- Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth
To Apply for this Job Click Here
Senior Data Engineer
San Francisco
$180000 - $240000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Senior Data Engineer
San Francisco, CA
$180-240K 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
- 5+ 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
- Experience with Kafka and streaming data systems, with working knowledge of ClickHouse, Iceberg, or similar technologies
- Experience with ingestion tools such as Fivetran, Airbyte, or Polytomic
- Cloud-native architecture experience across AWS, GCP, or Azure
- Exposure to designing data systems that meet compliance and governance requirements, including SOX or equivalent
- Strong communication and collaboration skills, with the ability to contribute as a technical voice across engineering and business stakeholders
To Apply for this Job Click Here
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