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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 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, build, and maintain BI dashboards and reports (Power BI, Tableau, Databricks). Translate business requests into visualizations, optimize and write advanced SQL, create views/derived tables, perform data modeling and transformations, validate data accuracy, document metric logic, and collaborate with cross-functional teams to deliver accurate dashboards within SLAs.

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.

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 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.

The Senior Data Engineer will design and deploy data solutions for customers, focusing on data pipelines, governance, and analytics, while collaborating with teams to support business outcomes in AI and ML applications.

Lead global accounting for a multi-entity, multi-currency services business: own month-end close and consolidation, design internal controls, manage intercompany/transfer pricing, coordinate audits and tax compliance, support cash/treasury and forecasting, and manage accounting staff and external partners to scale finance operations.

Lead customer engagements and pre-sales for Databricks-based data platforms. Architect and deliver end-to-end data engineering solutions supporting BI, ML/AI, and analytics; manage multiple accounts, mentor teams, ensure data quality, governance, and production readiness, and produce technical documentation and presentations.