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Ten10
Ten10

Principal Data Consultant (AWS / Databricks)

Job summary
Permanent contract
London
Salary: Not specified
Experience: > 10 years
Skills & expertise
Terraform
DBT
Kafka
Databricks
AWS
+2

Ten10
Ten10

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Questions and answers about the job

The position

Job description

  • You’ll be the architect on our highest-impact data engagements
  • You will define the vision with senior clients, defend your design in front of CTOs and engineering teams, and stay grounded in the codebase to prove it works
  • When the project demands it, you’ll step up as Tech Lead
  • Off-project, you’ll help shape our practice: taking real-world learnings and building the reference architectures, repeatable propositions, and delivery standards that set the benchmark for everything we do next
  • Lead the architecture work on client engagements from discovery through to production
  • Run discovery and target-architecture workshops with client CTOs, heads of data and engineering leads
  • Translate commercial goals into an architecture and a sequenced roadmap the client can fund
  • Be the senior technical voice the client trusts when trade-offs, cost or risk are contested
  • Set and own the target data architecture: ingestion, storage, transformation, serving, governance
  • Make and document the significant decisions (lakehouse vs warehouse, batch vs streaming, build vs buy) with the trade-offs written down
  • Define non-functional requirements, cost models and FinOps guardrails alongside the functional design
  • Build in security, data protection, lineage and quality from the start, not as a later workstream
  • Take the tech lead role on engagements when the shape of the team requires it
  • Write and review code where it matters: reference implementations, spikes, thorny pipelines, infrastructure-as-code
  • Set engineering standards for the practice — testing, CI/CD, environments, code review, observability
  • Coach and unblock engineers; raise the standard of the people around you
  • Spot and qualify follow-on work inside live accounts
  • Build reusable assets: reference architectures, accelerators, delivery playbooks
  • Help define the hiring bar and interview the next data engineers and architects
  • Work with the existing cloud infrastructure and testing practices so data engagements pull them through, and vice versa

Preferred experience

  • SC clearance, or eligibility for it
  • 10+ years in data engineering and architecture, with at least 3 as the lead architect on complex, multi-team programmes
  • Track record in a consultancy, systems integrator or other client-facing setting — comfortable being accountable to a paying client, not only an internal stakeholder
  • Still writes production-grade code: strong Python and SQL, Spark, dbt or equivalent, infrastructure-as-code (Terraform preferred)
  • Estimating and scoping work, and shaping proposals that were won
  • Designed and delivered modern data platforms end to end on AWS and/or Databricks
  • Data modelling depth across dimensional, Data Vault and lakehouse/medallion approaches, with a view on when each is most appropriate
  • Must have a conceptual appreciation of AI systems and a willingness to learn
  • Data governance in practice: catalogue, lineage, access control, quality, and Regulatory obligations
  • Owned platform cost: sizing, forecasting and bringing a runaway bill back down
  • Databricks and/or AWS certification at professional level, and experience supporting a firm’s partner status (competency badges, certified-headcount targets, co-sell with partner account teams)
  • Streaming and event-driven architecture in production (Kafka/MSK, Kinesis, Structured Streaming)
  • Data products, mesh or federated ownership models applied on a real programme, not just in theory
  • ML and AI platform work: feature stores, MLflow, model serving, and the data foundations behind RAG or agentic use cases
  • Regulated-sector exposure — financial services, healthcare, public sector — and the assurance that comes with it

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