Databricks Engineer - Project Delivery Manager
- 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
- 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
- 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
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