Databricks Data Engineering Manager

About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Find out more about us at www.accenture.com.

Job Description: 

Join Accenture’s Data & AI practice and help build the next generation of AI‑ready data platforms on Databricks. We’re investing heavily to lead in GenAI, Data & AI, and we bring that momentum to real client outcomes across ANZ.

As Accenture, we are Databricks’ largest partner and have earned Global GSI Partner of the Year recognition 7 years in a row (2019–2025) and APJ Industry Leader Partner of the Year 2025

You’ll work alongside one of the largest certified Databricks teams in ANZ, supported by a strong local bench and global delivery scale -designing, modernizing, and accelerating data journeys with proven assets and accelerators that move clients faster from strategy to implementation.

Key Responsibilities 

• Lead and mentor cross-functional data engineering teams to deliver end-to-end Databricks solutions. 

• Collaborate with clients and SMEs to architect scalable, secure, and efficient data platforms. 

• Own project delivery, stakeholder communication, and issue resolution across cloud data engagements. 

• Enforce best practices around data governance, observability, and CI/CD pipelines. 

• Drive innovation by evaluating emerging data technologies and promoting continuous learning. 

Key Skills

Databricks & Lakehouse Expertise

Expertise across Databricks Lakehouse Platform:

• Delta Lake & Delta Live Tables (DLT)

• Unity Catalog (governance, lineage, data sharing)

• Workflows & orchestration

• SQL Warehouses & AI/BI Genie capabilities

• AgentBricks for agentic AI orchestration

Data + AI Platform Engineering

• Experience with GenAI on Databricks: Model Serving, Vector Search, and LLM integration patterns.

• Strong understanding of data product architectures, semantic layers, and domain-oriented data design.

Engineering Excellence

• Advanced proficiency in Python, PySpark, and SQL for large-scale data processing.

• Strong experience in streaming (Structured Streaming), batch pipelines, and performance optimisation.

• Hands-on with CI/CD, DevOps, and Lakehouse-native deployment frameworks (e.g. Spark Declarative Pipelines and Declarative Automation Bundles).

Cloud & Ecosystem

• Deep experience across cloud platforms (AWS, Azure, or GCP) and integration with enterprise data ecosystems.

• Familiarity with event-driven architectures, APIs, and Microservices integration.

Leadership & Consulting

• Proven ability to lead large, distributed teams and deliver complex, multi-workstream programs.

• Strong stakeholder management with C-level engagement and strategic advisory capability.

• Experience in driving business outcomes through data and AI transformation programs.

Benefits of working at Accenture:

·       18 weeks paid parental leave

·       Long & short-term career break opportunities

·       Structured career development program

·       Local and international career opportunities.

·       Certified as a Family Inclusive Workplace™

·       Flexible Work Arrangements - centered around Accenture’s Truly Human ethos and our commitment to supporting the health and wellbeing of our people.

·       We are proud to be in the top 3 of last year’s Diversity & Inclusion Index!

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