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Technical Lead​/Data Architect

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: YunoJuno
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Systems Engineer, Cloud Computing, Data Security
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Technical Lead / Data Architect
Location: Greater London

* Please note.

- You must be registered as a freelance contractor (Ltd Co, Sole Trader) or work via an umbrella company for this assignment.*

ABOUT

THE ROLE

The Technical Lead / Data Architect owns the end-to-end technical architecture, engineering organisation, platform maturity evolution, and multi-layered replatforming agenda for the VWG DTO ecosystem. This senior role reports directly to the DTO Overall Lead and operates as a peer to the Head of Governance & Strategy and the Enablement Lead. The role is accountable for delivering a modern, scalable, AI-ready, governance-aligned data ecosystem spanning ingestion, transformation, modelling, storage, sharing, observability, and reporting.

The remit includes working with engineering teams (Ingestion, ETL/Transformation, BI/Viz, QA, Dev Ops, Automation), embedding governance and compliance expectations into the architecture, and driving the platform transition from both Starburst→Redshift and Airbyte→Adverity.

ROLE SUMMARY

The Technical Lead / Data Architect is accountable for:

  • End-to-end technical architecture across the full e2e stack.
  • Engineering leadership across ingestion, transformation, BI, QA, Dev Ops.
  • Replatforming One Reporting’s analytical substrate to Redshift, enabling zero-copy data sharing, unified lineage and AI/LLM workloads.
  • Replatforming the ingestion and integration layer from Airbyte→Adverity to support harmonised vendor management, higher observability and stronger schema governance.
  • Delivering 24-hour latency expectations and 0–1% discrepancy tolerances.
  • Embedding automation, observability and controlled backfills across all pipelines.
  • Translating expanded client expectations (2025→2026) into scalable architectural patterns.
KEY RESPONSIBILITIES ARCHITECTURE
  • Lead architectural redesign driven by 2025 expansions (multi-source reconciliation, dual-environment support, URL governance, finance reconciliation).
  • Deliver the 2026 requirements: creative-level granularity, lineage versioning, governed metadata history, automation-first operations, AI-ready data layers.
  • Define canonical modelling standards, entity relationships, lineage contracts, and schema evolution frameworks.
  • Embed governance frameworks (taxonomy, CSREF/URL rules, tagging, QA rules) directly into the platform architecture.
ENGINEERING LEADERSHIP
  • Work with all engineering teams:
    Ingestion, Transformation/ETL, BI/Viz, QA, Dev Ops, and Automation.
  • Drive consolidation under a single engineering leadership structure.
  • Establish modern software engineering practice: code reviews, CI/CD, IaC, automated QA gates, telemetry-driven operations.
  • Partner with Governance to ensure rule-driven, compliant, “Right First Time” execution across markets.
REPLATFORMING
  • Lead end-to-end replatforming from federated Starburst architecture to Redshift analytical substrate.
  • Deliver native zero-copy data sharing for the client.
  • Establish unified compute+storage lineage, enabling audit-ready transparency.
  • Enable SQL-native AI/LLM workloads.
  • Lead migration of ingestion layer to Adverity to consolidate connectors, improve vendor-supported reliability, and reduce ingestion failure domains.
  • Deliver a unified ingestion governance layer: schema validation, drift detection, automated reprocessing rules, lineage tagging at source.
  • Support increasing platform complexity (additional local DSPs, retailer platforms, local publishers, custom feeds).
PLATFORM MATURITY
  • Deliver automated, rule-driven, end-to-end QA with 0–1% tolerance.
  • Implement full observability: SLA/SLO telemetry, heartbeat checks, freshness monitoring, discrepancy detection, error patterning.
  • Build governed, deterministic backfill mechanisms.
  • Ensure the platform “explains itself” to audits, client pipelines and LLM-based validation systems.
PEOPLE LEADERSHIP
  • Lead, mentor and develop engineering leads and multi-disciplinary technical teams.
  • Build an accountable, proactive engineering culture.
  • Create clear KPIs, SLAs, maturity models and progression paths.
  • Forecast capability needs and drive hiring aligned to 2026 requirements.
  • Provide documentation, architectural decisions, and transparency to audits and client councils.
IDEAL CANDIDATE PROFILE
  • Deep experience in cloud…
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