Director, Data Engineering Centre of Excellence (CoE)

About this role

Mission

Build a worldclass dataengineering capability by standardising how Enterprise Data Platforms and pipelines are designed delivered and operatedat scale across clouds and with productiongrade reliability.

Key Responsibilities

Enterprise Data Platform (EDP) Leadership

• Bring proven handson experience designing and building Enterprise Data Platforms for large complex organisations.

• Lead and influence endtoend EDP architecture spanning acquisition ingestion storage transformation orchestration and distribution.

• Translate realworld EDP delivery experience into reference architectures design standards and reusable patterns within the CoE.

Data Engineering CoE Ownership

• Establish and lead the Data Engineering Centre of Excellence.

• Define enterprisewide standards for data ingestion transformation orchestration and publishing.

• Set clear quality performance and operational readiness bars for all dataengineering teams.

Snowflake Internal Platform Skills

• Act as the internal Snowflake engineering authority defining standards for:

  • SQL design and performanceaware query patterns

  • Data modelling across raw stage standard and publish layers

  • Warehouse usage multicluster strategies and cost efficiency

  • Snowflake parameter governance (performance stability security)

  • Partner with platform and DBA teams on Snowflake operations DR monitoring and runbooks.
    
    dbt Airflow & Kubernetes
    
    Define and govern best practices for:

    • dbt project structure testing documentation and promotion

    • Airflow DAG design scheduling backfills retries and ownership

    • Kubernetesbased execution for data workloads including resource management and isolation

    • Ensure consistency reliability and supportability across all orchestration and execution layers.

DevOps for Data Pipelines

• Own the DevOps strategy for data engineering across all deployed Enterprise Data Platforms.

• Standardise CI/CD pipelines for:

  • dbt models and transformations

  • Airflow DAGs and pipeline frameworks

  • Configuration and platform changes

• Drive infrastructureascode and automation for repeatable environments.

• Embed operational reliability by design:

  • Observability alerting and runstate readiness

  • Release safety rollback and recovery patterns

  • Clear ownership oncall and escalation models

MultiCloud Data Engineering (Azure & AWS)

• Define multicloud dataengineering standards across Azure and AWS.

• Promote cloudagnostic pipeline design where appropriate while leveraging platformspecific strengths.

• Partner with Cloud and Platform teams on security identity networking and cost efficiency.

Master Data Management & External Data

• Establish engineering standards for Master Data Management (MDM) ensuring mastered entities are reliable governed and reusable.

• Define compliant patterns for webscraping and external data acquisition integrated into enterprise pipelines with governance and observability.

Enablement & Influence

• Enable teams through design reviews playbooks reference implementations and coaching.

• Act as a consultative accelerator not a central delivery or ticketbased team.

Success Measures

• Consistent dataengineering and EDP standards adopted across teams

• Improved platform reliability scalability and developer productivity

• Reduced operational toil and performance issues through better design

• Faster onboarding onto approved patterns and platforms

• Clear reduction in bespoke oneoff implementations

Required Experience

• Deep experience in data engineering data platform engineering or enterprise data architecture

• Demonstrated experience designing and building Enterprise Data Platforms for large organisations

• Strong handson expertise in Snowflake dbt Airflow Kubernetes and datapipeline DevOps

• Proven ability to drive standards and influence outcomes in a matrixed environment

Our benefits

To help you stay energized engaged and inspired we offer a wide range of benefits including a strong retirement plan tuition reimbursement comprehensive healthcare support for working parents and Flexible Time Off (FTO) so you can relax recharge and be there for the people you care about.

Our hybrid work model

BlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation. As a new joiner you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock we are all connected by one mission: to help more and more people experience financial well-being. Our clients and the people they serve are saving for retirement paying for their childrens educations buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment the one we make in our employees. Its why were dedicated to creating an environment where our colleagues feel welcomed valued and supported with networks benefits and development opportunities to help them thrive.

For additional information on BlackRock please visit @blackrock Twitter: @blackrock LinkedIn: is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age disability family status gender identity race religion sex sexual orientation and other protected attributes at law.