Lead Data Architect

Lead Data Architect

Posted 1 week ago by NineTech

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£100 Per hour
Inside
Undetermined
London Area, United Kingdom
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Apache Kafka Automation Azure Databricks Cloud Computing Cloud Technology Data Architecture Databricks Data Governance Data Ingestion Data Management Data Quality Digital Transformation Enterprise Architecture Executable External Auditing Financial Services Investment Decisions Investments Management Snowflake (Data Warehouse) Stakeholder Engagement Stakeholder Management Strategic Thinking

Summary: The Data Platform Architect role at a Financial Services organization involves leading the strategic direction for the firm's data landscape, ensuring alignment with enterprise architecture and regulatory priorities. The position requires expertise in cloud and hybrid data platforms, overseeing the design of data frameworks, and ensuring compliance with governance standards. The architect will also drive modernization efforts and champion a data-first culture within the organization.

Key Responsibilities:

  • Set the strategic direction for the firm’s next-generation data landscape.
  • Define the target-state architecture for data ingestion, integration, governance, and analytics.
  • Drive simplification and optimization of the bank’s data estate.
  • Lead the advancement of modern data operating models tailored to regulated environments.
  • Establish a unified approach to enterprise data accessibility and sharing.
  • Provide architectural leadership across cloud and hybrid data platforms.
  • Oversee the design of enterprise ingestion frameworks and real-time streaming capabilities.
  • Set the architectural direction for AI/ML pipelines.
  • Partner with the Chief Data Office and Chief Risk Office to ensure compliance with regulatory standards.
  • Lead efforts to minimize data duplication and enhance cost efficiency.
  • Serve as the primary authority for major data modernization programs.
  • Engage senior leaders to translate strategic outcomes into executable roadmaps.
  • Champion a data-first culture within the organization.

Key Skills:

  • Expertise in cloud and hybrid data platforms (e.g., Databricks, Snowflake).
  • Strong knowledge of data governance and compliance standards (e.g., BCBS 239, GDPR).
  • Experience with data architecture and modern data operating models.
  • Proficiency in AI/ML pipeline integration.
  • Leadership skills in stakeholder engagement and change influence.
  • Ability to drive data efficiency and automation initiatives.
  • Strong analytical and strategic thinking skills.

Salary (Rate): £100.00/hr

City: London Area

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Data Platform Architect - Financial Services

My client, a Financial Services organisation, are looking for a Data Platform Architect on a long term assignment. The contract is INSIDE IR35

Enterprise Data Strategy & Architecture Leadership

  • Set the strategic direction for the firm’s next-generation data landscape, ensuring alignment with enterprise architecture, regulatory priorities, and long-term digital transformation objectives.
  • Define the target-state architecture spanning ingestion, integration, governance, analytics, AI/ML enablement, and cross-business data product capabilities.
  • Drive simplification and optimisation of the bank’s data estate through standardisation, rationalisation of legacy platforms, and automation at scale.
  • Lead the advancement of modern data operating models, including Data-as-a-Product and distributed domain ownership, tailored to the needs of regulated financial environments.
  • Establish a unified approach to enterprise data accessibility, controlled sharing, and data marketplace enablement across business lines.

Data Platform & Technology Knowledge

  • Provide executive-level architectural leadership across cloud and hybrid data platforms, leveraging technologies such as Databricks, Snowflake, major hyperscalers, Kafka, and lakehouse frameworks.
  • Oversee the design of enterprise ingestion frameworks, real-time streaming capabilities, data quality controls, and advanced analytics foundations.
  • Set the architectural direction for AI/ML pipelines, ensuring robust integration with risk, compliance, and model governance processes.

Governance, Risk & Compliance Alignment

  • Partner closely with the Chief Data Office, Chief Risk Office, and Compliance to ensure all architectural decisions meet stringent regulatory, audit, and data governance standards (e.g., BCBS 239, GDPR, operational resilience).
  • Influence policy and standards that govern data management, lineage, retention, and model oversight across the institution.

Data Efficiency, Resilience & Automation

  • Lead enterprise-wide efforts to minimise data duplication, improve latency and resiliency, and enhance cost efficiency through architectural modernisation.
  • Embed DataOps, MLOps, and automation capabilities that accelerate delivery of trusted data products and model-driven solutions across the bank.

Stakeholder Leadership & Change Influence

  • Serve as the primary authority for major data modernisation programs, guiding investment decisions and architectural trade-offs.
  • Engage senior business leaders, technology executives, quantitative teams, and product owners to translate strategic outcomes into executable roadmaps.
  • Champion a data-first culture, ensuring the organisation adopts modern, scalable, and governed data practices.
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