Chief Data Engineer

6 days ago

Sydney, New South Wales, Australia Talent Full time $150,000 - $250,000 per year

Our client is looking for a Chief Data Engineer to join their leadership team. The
Chief Data Engineer
will lead the design, implementation, and governance of enterprise data solutions that support the organization's strategic objectives. This role combines deep technical expertise in
data engineering, Informatica, and cloud-based data lakes
with strong strategic leadership to shape the company's data roadmap and enable data-driven decision-making across the business.

Responsibilities

  • Define and execute the organization's
    data engineering strategy
    aligned with business and technology goals.
  • Architect scalable, secure, and high-performance
    data platforms and pipelines
    to support analytics, AI, and operational needs.
  • Develop and maintain enterprise
    data lake and data warehouse
    environments (e.g., AWS, Azure, or GCP).
  • Lead and mentor data engineering teams, setting best practices for data ingestion, transformation, and integration.
  • Drive the
    Informatica ecosystem
    (PowerCenter, IDMC, IICS) for ETL/ELT, data quality, and metadata management.
  • Partner with data governance and compliance teams to enforce
    data standards, lineage, and security protocols
    .
  • Ensure adherence to regulatory requirements and internal policies (e.g., GDPR, APRA, or ISO standards).
  • Implement automated data quality frameworks and observability tools.
  • Collaborate with business, analytics, and IT stakeholders to understand data needs and deliver actionable solutions.
  • Communicate complex technical concepts to non-technical audiences, enabling informed business decisions.
  • Build a culture of innovation, data stewardship, and continuous improvement.

Requirements

  • 15+ years of experience in
    data engineering
    , with at least 5+ years in a
    Excutive Manager
    or Head of-level
    role.
  • Proven experience building and managing
    enterprise data lakes
    and
    ETL/ELT pipelines
    at scale.
  • Expertise in
    Informatica
    tools (PowerCenter, IICS, IDMC, MDM).
  • Strong hands-on experience with
    cloud platforms
    (AWS, Azure, or GCP) and modern data lake architectures (Delta Lake, Iceberg, Lakehouse).
  • Experience defining and executing
    data strategies, frameworks, and roadmaps
    for large organizations.
  • Familiarity with
    governance, cataloging, and lineage tools
    (e.g., Collibra, Alation, or Informatica EDC).
  • Excellent leadership, stakeholder engagement, and communication skills.
  • Experience working in
    Banking
    or
    financial services
    .

If you think you have the above skills and experiences, click the 'Apply' button or send your resume to

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