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Our client is seeking a Senior Data Architect/Strategist who blends advanced data knowledge with real-world problem solving, someone who can move seamlessly between developing predictive models and translating complex data into clear, actionable insights. You’ll be an integral part of a multidisciplinary team using data science and machine learning to drive intelligent products, automation, and smarter business decisions. You have deep experience with statistical modeling, machine learning, and experimentation. You’re collaborative, business-savvy, and known for delivering results that move the needle. Experience is required in technical leadership, mentoring of staff and recommend training of staff. Also experience in working closely with complex customers.

What You’ll Do

Modeling & Advanced Analytics: Design, develop, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization). Apply machine learning, deep learning, and statistical techniques to solve real-world business challenges. Drive experimentation (A/B testing, multi-variate testing) and causal inference to validate hypotheses and measure impact.

Data Exploration: Analyze large, complex datasets to extract key insights and translate them into strategic recommendations. Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization. Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions.

Qualifications & Experience

-7+ years of professional experience in data science, statistics, and applied machine learning.

-Deep proficiency in Python or R, with strong skills in libraries like scikit-learn, TensorFlow/PyTorch, models, algorithms and ontologies.

-Building and deploying Data Mesh architectures.

-Strong experience in AWS tools and infrastructure and cloud

-AI and data tools essential.

-Experience in working in other cloud environments (GCP, or Azure) would be an advantage.

-Demonstrated success deploying models into production environments using APIs, pipelines, or ML frameworks.

-Proven track record in statistical modeling, time series forecasting, NLP, or optimization.

-Experience designing and analyzing controlled experiments (A/B testing, uplift modeling).

-Background in quantitative disciplines such as Computer Science, Statistics, Mathematics, or Engineering.

-Experience with tools such as Databricks, SageMaker, and Snowflake is essential. Experience of Palantir would be an advantage.

-AWS cloud certifications or ML specialization credentials are an advantage.

Core Competencies

-Scientific Thinking – Brings strong analytical and statistical foundations; frames problems rigorously and tests hypotheses systematically.

-Practical Execution – Focuses on delivering actionable insights and real-world model impact, not just theoretical accuracy.

-Business Acumen – Understands the “why” behind the data; aligns analysis with client goals and product strategy.

-Ownership & Accountability – Delivers high-quality, reliable work end-to-end; takes pride in outcomes.

–Communication – Explains technical results clearly and persuasively to diverse audiences.

Tech stack

AWS, Python, TensorFow/PyTorch, Data Mesh, Databricks, SageMaker, Snowflake

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Director of Data Center Site Operations (Campus Lead)

Location: Dallas, TX – Remote
Full-Time | Onsite

Salary: up to $275,000 + equity + bonus

Overview

We are seeking a Director of Data Center Site Operations (Campus Lead) to oversee all aspects of operations for a large-scale data center campus. This senior leadership role will be responsible for site-wide performance, uptime, and operational strategy, while leading multiple teams across engineering, facilities, and operations.

Responsibilities

• Lead end-to-end operations for a multi-building data center campus
• Ensure 99.999% uptime and world-class reliability performance
• Oversee site leadership team (managers across operations, critical facilities, and engineering)
• Drive incident management, root cause analysis (RCA), and continuous improvement programs
• Own site-level operating metrics, SLAs, and reporting
• Manage relationships with key vendors, utility providers, and partner organizations
• Partner with global operations, construction, and engineering teams on capacity expansion and upgrades
• Establish and enforce operational standards, safety protocols, and compliance frameworks
• Lead workforce planning, hiring, and leadership development initiatives

Required Skills

• 10-15+ years in data center, critical facilities, or mission-critical operations
• Proven experience leading large-scale sites or multi-site environments
• Deep expertise in electrical and mechanical infrastructure (UPS, generators, switchgear, HVAC/chilled water systems)
• Strong track record of operational excellence, uptime management, and SLA ownership
• Experience managing layered leadership teams (managers + individual contributors)
• Familiarity with capacity planning, infrastructure lifecycle management, and expansion projects
• Strong understanding of regulatory, safety, and compliance standards (OSHA, NFPA, NEC)
• Executive-level communication and stakeholder management skills

Preferred Qualifications

• Experience in hyperscale, cloud, or large colocation environments
• Background in Lean, Six Sigma, or operational excellence methodologies
• Bachelor’s degree in Engineering, Facilities Management, or related field (or equivalent experience)

Requirements

• Must be authorized to work in the U.S. (no sponsorship available)

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Director, Data Center Operations (Hyperscale)

Location: Remote within the US
Full-Time | Salary: Up to $300,000

Overview

We are seeking a Director of Data Center Operations to lead multi-site operations across a growing hyperscale footprint. This role will drive uptime, operational excellence, and team leadership across critical environments.

Responsibilities

• Lead end-to-end operations across multiple data center campuses
• Ensure 99.999% uptime and SLA adherence
• Build and lead high-performing teams (managers + engineers)
• Oversee incident management, RCA, and continuous improvement
• Manage vendors and third-party service providers
• Partner with engineering, construction, and capacity planning teams

Required Skills

• 10+ years in data center or critical facilities operations
• Strong expertise in electrical/mechanical infrastructure (UPS, generators, chillers)
• Experience with Tier III/IV environments
• Proven leadership across multi-site operations
• Deep knowledge of SLA management and reliability metrics

Requirements

• Must be authorized to work in the U.S. (no sponsorship available)

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DATA ARCHITECT
up to £65,000 + BENEFITS
London (Hybrid)
This is a great opportunity to join a purpose‑driven organisation where you can take ownership of enterprise data architecture and shape how data is structured, governed and leveraged across the business.

THE COMPANY:

This a UK regulator in the health sector and is investing heavily in its digital and data capabilities, particularly across Microsoft D365 and modern data platforms. This is a chance to play a key role in a growing architecture function with real organisational impact.

THE ROLE:

You will take ownership of enterprise and project-level data architecture, driving best practice and governance across the organisation. Key responsibilities include:

• Driving enterprise data modelling and governance through the Data Architecture Framework (DAF)
• Developing conceptual and logical models (UML), taxonomies, ontologies and data glossaries
• Mapping data flows and establishing lineage across the enterprise ecosystem
• Supporting and evolving the Microsoft D365 and downstream medallion data architecture
• Administering and maintaining the model repository with strong version control and quality standards
• Working closely with engineering, governance and business teams to deliver scalable data solutions
• Acting as a champion for data architecture best practice across the organisation

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Data architecture experience, or a strong data engineering background with architectural aspirations
• Advanced data modelling (conceptual, logical and physical)
• Experience with modelling tools such as Sparx Enterprise Architect
• Strong understanding of data methodologies (Kimball, transactional, OBT) and when to apply them
• Knowledge of DAMA DMBoK principles and enterprise data governance
• Experience working within a Microsoft stack (Azure, Fabric, D365)

THE BENEFITS:

You will receive a salary of up to £65,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Title: Data Architect
Location: US Remote
Pay: $200k – $230k Base (No Bonus)

Overview:
An innovative, high-growth organisation is seeking a Data Architect to drive advanced analytics and machine learning initiatives across multiple business domains. This role focuses on building scalable data solutions, deploying predictive models, and enabling data-driven decision-making in a collaborative, cloud-first environment.

Responsibilities:

• Design, develop, and deploy predictive and prescriptive models across domains such as customer behaviour, operations, and personalisation
• Apply machine learning, deep learning, and statistical methods to solve complex business challenges
• Lead experimentation initiatives including A/B and multivariate testing, as well as causal inference analysis
• Analyse large, complex datasets to generate insights and inform strategic recommendations
• Communicate technical findings clearly to both technical and non-technical stakeholders
• Collaborate with product managers and cross-functional teams to define data science initiatives
• Partner with engineering teams to build scalable, data-driven applications
• Mentor junior team members and contribute to best practices, tools, and reusable frameworks

Must Have Qualifications:

• 7-10+ years of experience in data science, applied machine learning, or statistics
• Strong proficiency in Python or R, including libraries such as scikit-learn, TensorFlow, or PyTorch
• Hands-on expertise with AWS and cloud-based AI/data platforms
• Experience building and deploying Data Mesh architectures
• Proven ability to productionise models using APIs, pipelines, or ML frameworks
• Experience with tools such as Databricks, SageMaker, and Snowflake

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BI Architect

8 month fixed term contract

£95,000 – prorated for the duration of the contract

Fully remote

This is an opportunity to join a fast growing, global technology business at a pivotal stage of its data journey. You will play a key role in rebuilding and modernising reporting capability, working closely with stakeholders across the organisation to shape how data is used to drive decisions.

The Company

They are a global research technology platform operating at significant scale, supporting data driven decision making across multiple markets. With a strong international footprint and a growing analytics function, the business is investing heavily in modern data tooling and best practice. Their culture is collaborative, product focused and impact driven.

The Role

• Lead the migration and rebuild of datasets and reports across the business.
• Partner with users to run interviews and workshops to understand reporting and analytics requirements.
• Design and deliver clear, scalable dashboards using modern BI tools.
• Work closely with backend and analytics teams to ensure data models meet business needs.
• Influence best practice in reporting, documentation and stakeholder engagement.

Your Skills and Experience

• Strong SQL capability in a commercial analytics environment.
• Hands on experience with Power BI, Looker, Omni or similar modern BI tools.
• Proven ability to gather requirements directly from non technical stakeholders.
• Experience working with evolving data models and reporting migrations.
• Exposure to dbt or semantic layers is beneficial but not essential.
• Able to start at short notice.

What They Offer

• Competitive salary and benefits package.
• High impact role with ownership over critical reporting rebuilds.
• Exposure to modern data tooling and large scale datasets.
• Clear progression within a growing data and analytics function.

Please note we cannot offer sponsorship for this position.

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Principal Data Architect

Location: Remote

Salary: $210,000 – $240,000 + benefits

This is a rare opportunity to shape an AI native data platform from the ground up within a scaled, well funded fintech. You will have genuine greenfield ownership, designing the foundations that enable customer facing AI products, while working in an environment that values quality, autonomy and long term impact.

The Company
They are a well established B2B fintech providing mission critical lending and decisioning software to regulated financial institutions. Backed by private equity, the business is investing heavily in R and D and is undergoing a company wide AI transformation. Operating at significant scale on highly sensitive data, they combine the stability of a mature SaaS business with the ambition and pace of a startup style AI programme.

The Role
Own the full end-to-end design of a modern, AI-native data foundation built on lakehouse principles, enabling scalable and flexible data management. This involves unifying fragmented enterprise data models into cohesive, harmonised customer and product data assets. Additionally, design and implement robust enterprise data models, along with metadata and contextual layers, ensuring that data is both accessible and interpretable for AI systems and business users alike.

• Define data layers, governance, lineage, sensitivity classification and access controls for regulated financial data.
• Build customer 360 views and master data capabilities to support analytics, AI agents and LLM driven use cases.
• Lead data ingestion and mapping strategies, including batch, streaming and CDC pipelines.
• Work as a hands on individual contributor, influencing engineering, product and leadership teams without direct authority.
• Enable AI workspaces and data products that support customer facing AI experiences.

Your Skills and Experience

• Strong commercial experience as a Data Architect or Principal Data Engineer within FinTech or SaaS.
• Deep expertise in data architecture, enterprise data modelling and AI ready data platforms.
• Hands on experience with Databricks, PySpark and Azure based lakehouse architectures.
• Proven background in data governance, metadata management and regulatory compliance.
• Experience designing dimensional models and modern data layers for analytical and operational use.
• Exposure to Informatica or similar enterprise ingestion and integration tooling.
• Confidence working with complex, sensitive financial data in regulated environments.
• Must have eligibility to work in the U

What They Offer

• Greenfield ownership of a strategic AI native data platform.
• Direct access to senior leadership and influence over long term data and AI strategy.
• The chance to build data products that directly power next generation AI capabilities.

How to Apply
If you are excited by the challenge of building an AI first data foundation within a scaled fintech, apply now by emailing resumes if interested or pass on if you know someone who’d be a great fit.

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Senior BI Data Architect (FTC)

Remote UK
up to £100,000

Senior BI Data Architect

This is a great opportunity to join a high‑growth organisation where you can take ownership of building the data and BI foundations for a modern analytics platform, including the implementation of dbt and a governed semantic layer.

THE COMPANY:

This client’s platform enables organisations to make smarter, faster decisions using real‑time consumer insight at scale.
With continued international growth and a modern cloud‑first data strategy, they are investing heavily in analytics and BI foundations to support self‑service decision‑making across the business.

THE ROLE:

You will take ownership of the architecture and implementation of the BI and data foundations, working hands‑on to evolve their Databricks Lakehouse and analytics stack. This is a senior, autonomous role where you’ll be expected to proactively identify problems, propose solutions, and deliver with minimal hand‑holding.
Key responsibilities include:

• Designing and implementing the Databricks Lakehouse architecture, including governed data models and structures
• Leading the implementation of dbt and shaping best‑practice transformation workflows
• Building and owning the semantic layer to enable scalable, self‑service analytics
• Developing and optimising Python / SQL Spark pipelines for performance and reliability
• Acting as a senior technical partner to stakeholders, translating business needs into robust data solutions

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Semantic layer design
• Python and SQL Spark pipelines within Databricks
• Data architecture and modelling, with a focus on scalability and performance
• Working autonomously in senior environments, proactively solving problems and driving outcomes
• Experience implementing dbt Core or similar transformation frameworks

THE BENEFITS:

You will receive a salary up to £100,000 depending on experience, along with the opportunity to play a key role in shaping the future of a global data platform within a highly respected technology business.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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