Project Delivery Specialist - Databricks Engine...
Databricks Engineer - Project Delivery Specialist - CustomerAre 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. Work you'll do/Responsibilities
- 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 workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
- 5+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
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve