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Design and implement Databricks-centered data architectures and pipelines, support pre-sales technical efforts, lead client engagements, mentor teams, ensure data governance/security, and deliver production-ready ETL/ML solutions.

As a Senior Data Engineer, you will design and deploy data solutions, enhance data quality, and collaborate with customers and teams to support data engineering needs.

Design, build, and operationalize complex data solutions for customers. Support data ingestion, transformation, cleansing, governance, and testing. Collaborate across teams, troubleshoot data incidents, guide technical decisions, and enable AI/ML and BI workloads while tracking customer account progress.

Design, build, and operationalize data solutions for customers. Support data ingestion, transformation, quality, governance, and testing. Collaborate with teams, analyze sources, troubleshoot incidents, and guide customers on technical decisions to enable BI, ML/AI, and analytics.

Own and grow a portfolio of Financial Services accounts as a trusted C-level advisor. Drive commercial strategy, renewals, and expansions; govern delivery outcomes, manage escalations, and ensure value realization through Databricks-led data, analytics, and cloud initiatives. Facilitate QBRs, lead account planning, and coordinate partners while meeting revenue, margin, and NPS targets.

Design, build, and operationalize scalable data solutions and pipelines for customers. Analyze and transform data, ensure data quality/governance/security, test data movements, troubleshoot incidents, and collaborate with teams to support AI/ML and BI use cases.

Design, build, and operationalize scalable data solutions and pipelines for customers. Work across accounts to analyze data sources, apply transformations, ensure data governance/security/quality, test data movement, resolve incidents, and support AI/ML and BI use cases while educating end users.

Design and deliver Databricks-centric data architectures, lead pre-sales and billable engagements, build end-to-end data engineering pipelines for AI/ML and BI, mentor teams, ensure data governance/security/quality, and resolve data system issues while producing solution documentation and presentations.

Build scalable full-stack software products and data-driven platforms using modern backend and frontend technologies. Design distributed systems, microservices, and event-driven architectures; establish technical strategies and roadmaps; apply testing, CI/CD, monitoring, and cloud engineering practices. Collaborate with engineers, product owners, analysts, and stakeholders, engage with clients, and mentor junior developers while delivering large-scale products through agile methodologies.

Build and deliver scalable full-stack software products using Java, Python, JavaScript, and TypeScript. Develop backend services, front-end applications, distributed systems, microservices, and event-driven architectures. Apply automated testing, CI/CD, monitoring, and cloud engineering practices across AWS or Azure environments. Drive technical strategy and architectural decisions, collaborate with engineers, product owners, analysts, and stakeholders, deliver agile projects, and mentor junior team members.