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Senior Platform Architect
$165,000 – $190,000
Hybrid 3-4 days/week onsite

Overview

A growing technology and professional services organization is seeking a Senior Platform Architect to define and lead the technical vision for enterprise digital platforms. This role is responsible for establishing cloud, application, integration, and data architecture standards while partnering closely with engineering teams to ensure solutions are scalable, secure, cost-effective, and operationally resilient.
The ideal candidate has successfully led the architecture of large-scale production environments, understands the tradeoffs required to support high user volumes and complex workloads, and can demonstrate experience guiding platforms from initial design through ongoing operations.

Key Responsibilities

• Own and evolve the target-state architecture across cloud, application, data, and integration domains.
• Design and implement secure, scalable cloud environments using modern landing zone strategies, network segmentation, private connectivity, governance controls, and industry-recognized architecture frameworks.
• Define API, interoperability, and integration standards across distributed systems, including event-driven architectures and enterprise messaging platforms.
• Establish data architecture patterns supporting both operational and analytical workloads using cloud-native storage, relational databases, and large-scale analytics platforms.
• Define and govern non-functional requirements including system availability, performance targets, recovery objectives, throughput expectations, and cost efficiency metrics.
• Ensure architectural decisions align with security, compliance, governance, and regulatory requirements.
• Lead architecture reviews, resolve technical design conflicts, and provide implementation guidance to engineering teams.
• Drive observability, monitoring, incident readiness, and post-incident architectural improvements.
• Produce architecture documentation, decision records, diagrams, and technical standards for stakeholders and delivery teams.
• Advise leadership on platform investments, technology selection, cost optimization, and build-versus-buy decisions.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, GIS, or a related technical discipline. Equivalent experience may be considered.
• Minimum 7 years of experience in platform architecture, solution architecture, or large-scale systems design.
• Active Secret security clearance required.
• Demonstrated experience serving as the lead architect for production systems supporting large user populations or other highly available, mission-critical environments.
• Deep hands-on expertise with Microsoft Azure, including:
  • Azure Kubernetes Service (AKS)
  • App Service
  • Azure Functions
  • Microsoft Entra ID
  • Networking, storage, and managed data services
• Experience designing API and integration architectures, including authentication, versioning, contract management, and backward compatibility strategies.
• Strong knowledge of data architecture principles, including modeling, partitioning, governance, and access control.
• Experience establishing architectural standards, governance processes, and secure scalable design practices.
• Ability to translate business requirements into technology strategy, architecture decisions, and implementation guidance.
• Strong communication and documentation skills with experience presenting architectural recommendations to technical and non-technical audiences.

Preferred Qualifications

• Experience operating within regulated government or highly compliant cloud environments.
• Azure Solutions Architect Expert certification or equivalent experience.
• Experience supporting geospatial or location-based technology platforms and interoperable service standards.
• Infrastructure-as-Code expertise using Terraform or Bicep.
• Experience building CI/CD practices using platforms such as Azure DevOps or GitHub Actions.
• Proven record of leading post-incident reviews and driving platform improvements.
• Experience mentoring senior engineers and developing organizational architecture practices.

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SENIOR DATA ENGINEER

£100,000
LONDON

This is a unique opportunity to join a prestigious investment management business at the start of a major technology transformation. You’ll play a key role in building a brand-new cloud data platform from the ground up, working closely with investment professionals and taking ownership of critical data initiatives across the business.

THE COMPANY

Our client is a highly respected investment management firm with a long-standing heritage and a global, multi-asset investment strategy. Operating more like a sophisticated investment office than a traditional bank, they manage significant assets across public and private markets while maintaining a lean, collaborative culture.

This is a growth hire as part of a wider modernisation programme, offering the chance to help shape the future data landscape of the business and influence technology decisions from day one.

THE ROLE

• Build and develop a new cloud-based data platform, helping to establish the foundations of the firm’s future data architecture
• Migrate, redesign and modernise existing ETL pipelines, reporting processes and data workflows from legacy systems
• Work closely with investment, private equity, risk and performance teams to translate business requirements into scalable solutions
• Contribute across the full data lifecycle, including engineering, cloud infrastructure, automation, reporting and platform optimisation
• Play a highly visible role in a small technology team where your work will have direct business impact

YOUR SKILLS AND EXPERIENCE

• Strong experience in Data Engineering, ideally with exposure across infrastructure, pipelines, reporting and cloud technologies
• Financial Services experience is highly desirable, particularly within asset management, investment management or multi-asset environments
• Understanding of investment products such as private equity, derivatives, bonds and public markets
• Strong Python and SQL skills, alongside broader data engineering expertise
• Experience with Databricks, Snowflake or Microsoft Fabric would be advantageous
• CFA qualification or progress towards CFA Level 1+ would be highly beneficial
• Able to operate independently, engage stakeholders and take ownership of key initiatives

SALARY AND BENEFITS

• Up to £100,000 base salary
• Excellent pension contribution of up to 15%
• Private medical insurance for you and your family
• Life assurance, critical illness cover and income protection
• Up to £600 annual gym contribution
• 26 days holiday plus additional Christmas leave
• 15 work-from-anywhere days per year
• Sponsorship of professional qualifications
• Hybrid working model (4 days in office)

HOW TO APPLY

Please register your interest by sending your CV through to Harry Lack via the ‘Apply’ link.

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Data Engineer

£75,000 – £95,000 + Benefits
London (Hybrid)
This is a great opportunity to join a high-growth, technology-driven organisation undergoing a major cloud and data transformation. You’ll play a key role in building a brand-new GCP analytics platform from the ground up, helping shape the future of data across the business.

THE COMPANY:

This organisation operates within a specialist, highly regulated industry and has built a strong reputation through its innovative use of technology, data and analytics. Backed by significant investment and continued growth, the business is making major investments in its modern data platform and cloud capabilities.
With a collaborative culture, strong employee retention and a focus on continuous improvement, this is an environment where engineers can take ownership, solve meaningful problems and directly influence business outcomes.

THE ROLE:

You will take ownership of building and developing a new GCP Data Analytics Platform while helping modernise the organisation’s wider data estate.
Key responsibilities include:

• Building end-to-end data solutions, from ingestion through to business-facing outputs.
• Developing scalable ingestion pipelines using APIs, CDC, SFTP and streaming technologies.
• Designing and optimising dbt transformation layers and warehouse workflows.
• Creating dimensional models, fact tables and star schema designs to support analytics at scale.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands-on GCP experience in a commercial environment.
• Strong expertise with dbt
• Advanced dimensional modelling skills
• Strong Python and SQL experience
• Experience with Terraform, Kafka, Dataflow or Pub/Sub.

THE BENEFITS:

You will receive a salary of £75,000 – £95,000 depending on experience.

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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Senior Digital Analyst – Implementation

£50,000-£60,000 + 10% Bonus

London (Hybrid – 3x Days a Week in Office)

Sponsorship – Available

Are you a technically minded Digital Analytics specialist with strong Adobe implementation experience? This is an opportunity to take ownership of a major analytics transformation, modernising tracking infrastructure across multiple digital products for a global live entertainment and ticketing business. With significant investment in its analytics capabilities, the business is looking for someone who can get hands-on with complex implementations, improve data quality and help shape the future of its global digital analytics function!

The Company

A leading global ticketing and live entertainment platform, working with major venues, promoters and sporting organisations across the UK, Europe and North America. Operating at significant scale, the business combines ticketing technology with rich first-party customer data, digital marketing and fan engagement. As it continues to invest in its global analytics capabilities, there is a real opportunity to influence how data is collected, governed and used across its digital platforms.

The Role

As the Senior Digital Analyst, you will play a key role in transforming the organisation’s digital analytics infrastructure. You’ll take ownership of hands-on technical implementation, helping rebuild the data layer across eight digital products while supporting the migration from legacy Adobe Analytics implementations to the modern Adobe Experience Platform Web SDK. This is a technically focused position where you’ll need to be comfortable leading large-scale implementations, troubleshooting complex tracking issues and working through legacy environments to deliver reliable, scalable solutions.

Key responsibilities include:

• Lead large-scale digital analytics and tagging implementations across multiple digital products.
• Own data layer design, implementation, testing and quality assurance.
• Implement and maintain Adobe Analytics tracking, Adobe Launch configurations and tracking pixels.
• Support the migration from legacy tracking infrastructure to Adobe Experience Platform Web SDK (Alloy.js).
• Troubleshoot implementation issues and improve the accuracy and reliability of digital data.
• Work closely with Product, Marketing Technology and Analytics teams to deliver robust tracking solutions.
• Establish technical documentation, implementation standards and best practices.
• Support marketing attribution, reporting and the wider analytics transformation programme.
• Contribute to the future roadmap, including potential server-side tracking and broader data integration.
• Provide technical support to junior team members and help strengthen implementation capability as the global function grows.

Your Skills & Experience

• Strong hands-on experience implementing Adobe Analytics in a complex digital environment.
• Proven experience with Adobe Launch
• Strong JavaScript skills, particularly in relation to tracking implementation and debugging.
• Experience designing and implementing data layers, tags and tracking pixels.
• Experience leading or delivering large-scale digital analytics implementations.
• Exposure to Adobe Experience Platform Web SDK (Alloy.js), ideally including migration from legacy implementations.
• The ability to take ownership of technical delivery and work confidently with Product, Marketing Technology and commercial stakeholders.
• A detail-oriented approach, with the ability to navigate complex or outdated tracking environments.

The business is particularly interested in technically strong implementation specialists, although candidates with broader digital analytics experience will also be considered where they have demonstrable hands-on technical expertise.

The Benefits

• £60,000-£70,000
• Bonus – 10%

How to Apply

Please register your interest by sending your CV via the Apply link on this page. Visa sponsorship available for eligible candidates.

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Data Scientist
London (Hybrid) | £70,000 + Benefits

This is an opportunity to join a leading insurance business that is continuing to invest in Data Science and analytics. You’ll work on a diverse range of projects, helping the business make better decisions through predictive modelling, statistical analysis, and machine learning while gaining exposure to emerging AI technologies.

The Company
They are a well-established insurance organisation with a strong focus on data-driven decision-making. Their Data Science function works closely with stakeholders across the business to improve operational performance, customer outcomes, and commercial results. You’ll join a collaborative environment where analytical insights have a direct impact on strategy and business performance.

The Role

• Develop predictive models and machine learning solutions to solve business challenges.
• Analyse complex datasets to identify trends, risks, and opportunities.
• Partner with stakeholders to translate business problems into analytical solutions.
• Communicate insights and recommendations to both technical and non-technical audiences.
• Explore and evaluate new technologies, including Large Language Models, where they can deliver measurable value.

Your Skills & Experience

• Strong commercial experience working as a Data Scientist.
• Advanced Python skills and experience with machine learning libraries such as Scikit-learn, TensorFlow, Keras, or PySpark.
• Strong background in statistical modelling, data analysis, and predictive analytics.
• Ability to translate complex data into clear business recommendations.
• Exposure to LLMs, prompt engineering, or Generative AI would be advantageous.
• Experience within insurance, financial services, or another regulated environment is beneficial.

How to Apply
To find out more about this Data Scientist opportunity, please apply with your CV for a confidential discussion with the Harnham team.

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This is an opportunity to join a organisation investing heavily in marketing effectiveness and customer analytics. Sitting within a commercial analytics function, you’ll play a key role in helping marketing teams understand performance, optimise media investment, and work with MMM models.

The Company
The organisation is undergoing significant transformation across data, analytics, and marketing. Analytics plays a central role in commercial decision-making, with teams working closely with stakeholders to improve customer acquisition, engagement, and long-term value.

The business is continuing to expand its analytical capabilities and is investing in modern data platforms, marketing measurement, and advanced modelling to support smarter marketing decisions.

The Role
As a Senior Analyst, Performance Marketing, you will partner closely with marketing stakeholders to deliver insights that improve paid media effectiveness and maximise return on investment.
Key responsibilities include:

• Building and maintaining analytical solutions to measure paid media performance across channels and campaigns
• Using SQL to create scalable datasets and automate reporting processes
• Delivering deep-dive analysis into customer acquisition, conversion, retention, and campaign effectiveness
• Developing dashboards and reporting solutions to support marketing decision-making
• Working with marketing teams and agency partners to establish robust measurement frameworks
• Supporting Marketing Mix Modelling (MMM) initiatives by preparing data inputs, validating outputs, and helping stakeholders interpret results
• Assessing attribution models and identifying opportunities to improve marketing measurement
• Translating complex analytical findings into clear commercial recommendations
• Collaborating with data engineering and technology teams to ensure data quality and reliable reporting

Your Skills & Experience

• Strong commercial experience using SQL for data extraction, transformation, and analysis
• Experience working within performance marketing, digital marketing analytics, or paid media analytics
• Understanding of paid media measurement, ROI, ROAS, attribution, and marketing effectiveness
• Experience building dashboards and analytical products using tools such as Power BI, Tableau, or Looker
• Exposure to Marketing Mix Modelling (MMM), including supporting model inputs, interpreting outputs, or working alongside modelling teams
• Experience using Python or R for analysis and automation is beneficial
• Strong stakeholder management skills with the ability to communicate analytical insights to non-technical audiences
• Experience working with large-scale customer, campaign, or marketing datasets

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This role sits within a growing analytics function where data is used to support commercial and strategic decisions. You’ll work on advanced analytics projects, build predictive models, and help stakeholders understand the business impact of analytical outputs.

The Company
This organisation operates at scale and places data at the centre of decision-making. They have an established analytics team and are continuing to invest in analytics, data science, and reporting capabilities. The role offers exposure to a wide range of stakeholders, teams, and business challenges.

The Role
You will lead the delivery of analytics projects and develop solutions that support business performance.
Responsibilities include:

• Building predictive models and analytical products.
• Applying techniques such as forecasting, segmentation, experimentation, and statistical modelling.
• Using SQL and Python or R to analyse large datasets.
• Translating analytical findings into business recommendations.
• Working with stakeholders to define analytical requirements and priorities.
• Supporting the development of analytics standards and best practices.
• Partnering with data and technology teams to improve analytical capability.

Your Skills & Experience

• Strong SQL skills.
• Strong experience with Python or R.
• Experience in predictive analytics and statistical modelling.
• Ability to solve business problems using data.
• Experience working with large datasets.
• Strong stakeholder management and communication skills.
• Experience delivering analytics that drive business decisions.

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BUSINESS ANALYTICS ADVISOR

DELAWARE (ONSITE)

$130,000 – $200,000 BASE SALARY

The Opportunity We’re partnering with a leading financial services organization to hire a Vice President, Business Analytics Advisor who will help senior leaders make better decisions through data, insights, and strategic advisory support. This is not a traditional reporting or BI role. This individual will serve as a trusted advisor, translating complex analytics into executive-ready narratives, actionable recommendations, and business strategy.

What You’ll Be Working On

• Partner with senior leaders to identify trends, risks, opportunities, and performance drivers through analytics.
• Translate complex findings into compelling executive presentations, insights, and recommendations.
• Influence business and workforce decisions through data-driven storytelling and strategic advisory.
• Build trusted relationships with executive stakeholders and champion data-informed decision making.

What We’re Looking For

• 8+ years of experience in analytics, strategic insights, decision science, consulting, FP&A, or related fields.
• Strong executive presence with experience presenting to and influencing senior leadership.
• Proven ability to turn data into business stories, recommendations, and action.
• Experience working within large, data-driven organizations and partnering directly with business stakeholders.

Ideal Backgrounds

• People Analytics, Workforce Analytics, or Organizational Effectiveness.
• Business Analytics, Strategic Insights, or Enterprise Analytics.
• FP&A, Decision Science, Internal Consulting, or Business Strategy.
• Financial services, technology, consulting, or other large enterprise environments.

Why This Role

• High-visibility role supporting executive leaders and strategic decision-making.
• Opportunity to influence business outcomes through analytics and advisory expertise.
• Work at the intersection of analytics, strategy, and executive leadership.
• Strong compensation, career growth, and organizational impact.

This is an opportunity for a highly consultative analytics professional who enjoys influencing executive decisions, telling compelling stories with data, and helping leaders solve complex business challenges.

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Principal Data Engineer | Enterprise Data Architecture

Location: Austin, TX | Hybrid (4 Days Onsite)

Compensation: $220,000-$250K Base + Bonus + Equity

A leading consumer technology company is seeking a Principal Data Engineer to help shape the future of its enterprise data architecture and drive the technical strategy behind its next generation of data platforms.

This is a highly strategic, architecture-focused individual contributor role, offering the opportunity to influence enterprise-wide technology decisions, lead major data platform initiatives, and partner directly with senior engineering and business leadership.

The organization is making significant investments in modernizing its data infrastructure, with a focus on real-time data capabilities, scalable ingestion frameworks, data governance, and AI-ready architecture.

The Role

As Principal Data Engineer, you will serve as a senior technical authority across the data organization, defining architectural standards and driving long-term platform strategy.

You will have significant autonomy in evaluating technologies, shaping architectural decisions, and influencing multiple engineering teams, while remaining technically engaged in complex engineering challenges.

Key Responsibilities:

• Own and drive enterprise-wide data architecture strategy, ensuring scalability, reliability, security, and performance.
• Design and evolve modern cloud data platforms, including real-time ingestion frameworks, data lakes, warehouses, and semantic layers.
• Evaluate emerging technologies, platforms, and vendors to inform strategic investment decisions.
• Lead architectural decisions across Snowflake and adjacent data technologies.
• Establish best practices for data governance, quality, observability, and cost optimization.
• Partner with senior business stakeholders to translate organizational needs into scalable technical solutions.
• Provide technical leadership, architectural guidance, and mentorship across multiple engineering squads.
• Help shape the organization’s broader Data & AI strategy and future platform roadmap.

What We’re Looking For:

• 12+ years of experience in Data Engineering, Data Architecture, or related technical disciplines.
• Proven experience leading enterprise-scale data architecture initiatives and influencing technical strategy.
• Strong foundational expertise in Data Engineering, including SQL, data modeling, schema design, and modern data platform development.
• Demonstrated experience designing and implementing real-time data platforms and ingestion architectures.
• Experience with modern cloud data ecosystems, ideally including Snowflake or comparable technologies.
• Strong understanding of data governance, data quality, security, and platform optimization.
• Experience evaluating technologies and making architectural recommendations aligned with business objectives.
• Excellent communication skills, with the ability to influence senior stakeholders and collaborate across engineering teams.
• A hands-on technical background combined with the ability to operate strategically at the enterprise level.

Why Join?

• Enterprise-Wide Impact: Own architectural decisions that shape the future of a large-scale consumer technology platform.
• Strategic Ownership: Influence technology selection, investment priorities, and long-term data strategy.
• High Visibility: Partner directly with senior data leadership and cross-functional business stakeholders.
• Modern Data Transformation: Help drive significant investment in real-time data infrastructure, governance, and AI-ready platforms.
• Technical Leadership Without People Management: Operate as a senior individual contributor with broad influence across multiple engineering teams.

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