Engineering Manager

Organization:
Commonwealth Bank of Australia is the largest and number one bank in Australia, serving over 17 million customers. We maintain a high-trust brand reputation built on financial strength, innovation, and community impact. As of July 2025, CBA holds market cap of approximately USD 195.7 billion, ranking us among the top 100 most valuable companies globally. Our leadership in digital banking, customer safety, and responsible AI reflects our commitment to building a brighter future for all. Our values are reflected in our high-trust brand reputation. CBA is consistently ranked among Australia’s most valuable and trusted brands. 

Job Title: Engineering Manager
Location: Bangalore - Manyata Tech Park

Business & Team: CDO

Impact & Contribution:

As an experienced data engineering leader, you lead from the front — combining hands-on platform engineering depth with the people leadership to grow and inspire a high-performing chapter. You will lead the team that builds, manages and optimizes the data platforms that power our entire business, as we modernize onto a Snowflake + dbt Lakehouse alongside our AWS ecosystem.The Chief Data Office (CDO) exists to realize a data-driven organisation for the Group. You will lead a chapter of data and platform engineers responsible for thought leadership, people management, capability uplift and continuous improvement — ensuring our platforms are simpler, faster and more secure, and our crews are set up to do the work that matters. This role backfills a departing Chapter Lead and carries direct accountability for a team of 10–12 engineers.

Essential Skills:

• 12+ years overall in data engineering / data platforms, including hands-on build and operations.

• 4+ years in a people-leadership role, directly managing engineers (hiring, performance and development).

• Proven delivery of enterprise-scale data platforms on the cloud; hands-on Snowflake, dbt and AWS strongly preferred.

• Experience in financial services or another regulated industry is highly desirable.

• Bachelor's or higher in Computer Science, Engineering or a related field (or equivalent experience). of modern distributed data platforms, with Snowflake and dbt experience valued.
• Cloud data platform: Snowflake and dbt (core), plus AWS services (S3, Glue, EMR, Redshift, Lambda) — essential.

• Data engineering: SQL and Python; distributed data processing (e.g. Spark); modern ELT pipelines and orchestration.

• Data governance & enablement: Data Marketplace / data products, data lineage, and metadata management (cataloguing, discovery, governance).

• Engineering practices: CI/CD, Infrastructure-as-Code, observability, and a security- and cost-aware approach.

• Desirable: real-time streaming (e.g. Kafka), GenAI/advanced analytics enablement, and large-scale self-service data platforms.
• Are natural people leaders with a track record of building and growing high-performing engineering teams.

• Pair hands-on engineering credibility with the ability to provide thought leadership and set technical direction.

• Have delivered and operated data platforms at enterprise scale, end to end across the agile lifecycle.

• Bring an automation and self-service first mindset to complex, large-scale problems.

• Have a strong risk mindset, ideally from financial services or a similarly regulated industry.
• Own delivery and reliability of enterprise data platforms built on Snowflake, dbt and AWS.

• Drive the migration and uplift of our platform to a modern Snowflake + dbt stack, with automation and self-service first.

• Build and scale a Data Marketplace that makes trusted, governed data products easy to discover and consume.

• Embed strong data lineage and metadata management so data is observable, governed and auditable end to end.

• Partner with product owners, architects and risk teams to turn complex problems into scalable, sustainable solutions.

Education/Qualifications

    Bachelor’s degree in engineering in Computer Science/Information Technology

Advertising End Date: 03/12/2026