Databricks Delivery Lead

4 weeks ago

City of Melbourne, Australia ClearCompany Full time

We are seeking an experienced Data & Analytics Delivery Lead / Technical Project Manager to drive the successful delivery of Databricks programs. The ideal candidate will bring a strong track record of leading large-scale data platform initiatives—particularly migrations from SQL Server and CRM systems into Databricks—and possess both technical expertise and delivery leadership skills.

This is a hybrid role combining hands-on technical understanding with program/project management capability to ensure successful outcomes across stakeholders, vendors, and delivery teams.

Key Responsibilities

- Lead the delivery of data platform transformation programs, with a focus on migrating SQL Server and CRM workloads to Databricks.
- Own the end-to-end delivery lifecycle, including planning, execution, risk/issue management, stakeholder communication, and governance.
- Translate business objectives into delivery plans and technical execution strategies.
- Manage cross-functional teams including data engineers, solution architects, and business SMEs across multiple geographies (India and Australia).
- Oversee development and implementation of Databricks pipelines, data modelling, ETL processes, and integrations with enterprise platforms.
- Ensure data governance, security, and compliance standards are met throughout the migration.
- Drive adoption of Agile / DevOps delivery practices within the team.
- Provide technical leadership to guide architecture and design decisions in Databricks, while escalating and resolving delivery risks.

Key Skills & Experience

- 10+ years' experience in IT project/program delivery, with at least 5 years in Data & Analytics programs.
- Proven background in leading Databricks implementations, preferably in large enterprise settings.
- Strong experience with data migration from SQL Server and CRM systems into modern cloud platforms.
- Technical understanding of:

- Databricks, Azure Data Factory, Delta Lake, Spark, SQL, Python

- Data modelling (Kimball or similar), ETL pipelines, orchestration frameworks

- CRM data structures (Dynamics 365, Salesforce, or equivalent)

- Demonstrated experience managing offshore/onshore delivery teams.
- Agile / Scrum / DevOps practices for data engineering and analytics delivery.
- Excellent stakeholder management and communication skills at both technical and executive levels.

Desirable

- Industry experience in Banking, Financial Services, Insurance, or Government.
- Experience in large-scale cloud adoption and data modernization programs.
- Familiarity with data governance, security frameworks, and compliance standards.

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