Databricks Engineer – Project Delivery Manager

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Lead Finance data domain platform and solution architecture, defining target-state designs, integration patterns, and data standards aligned to enterprise strategy.

Provide hands-on core data engineering leadership (Python, PySpark, Databricks) to build and evolve scalable pipelines, curated datasets, and reusable frameworks.

Serve as team lead for delivery execution—prioritizing work, guiding design/code reviews, ensuring reliability/observability, and partnering with product and cloud/platform teams.

Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

Independently and collaboratively lead client engagement work streams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects.

Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Our Digital Foundry & Operations works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

8+yrs experience as a Data Architect / Platform Architect in cloud-based data ecosystems, designing end-to-end architectures (ingest, transform, storage, consumption, governance).

Strong hands-on expertise in Python, PySpark, and Databricks (jobs/workflows, performance tuning, Delta/medallion-style patterns, operational monitoring).

Demonstrated leadership of data engineering teams (technical direction, mentoring, delivery governance, stakeholder management), preferably within a Finance data domain.

Solid understanding of data management fundamentals (data modeling, security/access controls, data quality, lineage, and documentation).

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Information for applicants with a need for accommodation:

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