IT&Data Engineer

• 1. Role purpose
• He/she builds governed, reusable data products — contributing to OneHouse (the central lakehouse) and delivering transformations within Data Transformation Units (DTUs) — while raising the technical bar of the squad through mentoring, design guidance and code quality.
• As a chapter member, the role provides technical leadership at squad level, but does not carry people-management, capacity or standard-setting accountabilities — which remain with the Chapter Manager and the Chapter Lead.
• Level & reporting note: This is an individual-contributor role at L9. The role reports to the D&A Engineering Chapter Manager (L8), preserving the chapter reporting line (Chapter Lead → Chapter Manager → chapter team member). People-management, staffing and standard-setting are explicitly out of scope to keep the role distinct from the L8 Chapter Manager.
• 2. Main mission
• Ensure, within a squad, the technical quality and reliability of data products delivered on OneSource 2.0 — acting as hands-on technical reference and coach — so that Bronze → Silver → Gold datasets serve as a trusted Single Source of Truth (SSOT), under the guidance of the Chapter Manager.

Roles & Responsibilities

• Technical leadership at squad level
• – Act as the technical reference for the squad’s data engineering work on OneSource 2.0
• – Guide solution build within guardrails; drive design and code quality through peer review
• – Mentor and upskill junior data engineers; support estimation and technical planning
• – Contribute to Engineering Decision Records (EDRs) for implementation-level decisions
• Data ingestion (config-driven)
• – Configure ingestion using the OneHouse metadata-driven framework: create/modify JSON configuration files (ingestion, Bronze) and deploy via GitHub / GitOps / CI-CD
• – Onboard sources (SAP/DB2, files, Snowflake, external push/pull) into OneHouse, ensuring reliability, completeness and lineage
• Transformation & data modelling (core value)
• – Build Silver (cleaned, harmonized, modelled) and Gold (business aggregations / data products) datasets implementing business KPIs
• – Apply and enrich reusable logic from the Transformations Library; document and version it
• – Translate KPI definitions into scalable transformations aligned with domain data models
• Platform engineering within DTUs
• – Develop within DTUs using Databricks (Spark/SQL/Delta Lake) and, where relevant, ADF, Snowflake or Informatica
• – Structure data across Bronze / Silver / Gold; optimize performance, cost (FinOps) and scalability
• – Apply best practices for CI/CD, IaC, monitoring and data quality checks
• Governance & data products
• – Verify integrity of ingested data and entities in Unity Catalog; respect GBDO / Data Owner validation and security-by-design
• – Ensure only OneHouse-stored, catalogued data is published as shareable, certified data products (SSOT)

Technical Requirements

• Expertise expected
• – Strong Data Engineer experience in enterprise environments, with hands-on OneSource 2.0 / OneHouse & DTU practice
• – Databricks (Spark/SQL, Delta Lake) mandatory; ADF / Azure stack; exposure to Snowflake / Informatica a plus
• – Solid data modelling for analytics (facts, dimensions, derived metrics) and medallion architecture
• – Comfortable with config-as-code / GitHub / CI-CD working model; experience integrating ERP / Finance / Commercial data (e.g. SAP)
• Leadership positioning (technical, not managerial)
• – Recognized technical reference within the squad; able to coach juniors and justify design choices among competing alternatives
• – Operates under the guidance of the Chapter Manager — no people-management, capacity or standard-setting accountability

Additional

Building governed Bronze/Silver/Gold data products in OneHouse and DTUs, and coaching junior engineers — while reporting to the L8 Chapter Manager. “Lead” reflects technical seniority, not a management layer, keeping the role cleanly one level below the Chapter Manager in the chapter structure