Top Tech Jobs & Startup Jobs in Seattle, WA

Build, operationalize, and design complex data solutions for multiple customer accounts. Responsibilities include data transformation, cleansing, governance, security, quality, source analysis, testing data movement and transformation code, troubleshooting defects and incidents, and educating end users. The role also requires guiding customers on technical decisions, collaborating across teams, and supporting data products and analytical environments.

Design, build, deploy, and operationalize scalable data engineering solutions for customers. Responsibilities include developing pipelines, transforming and cleansing data, analyzing sources, implementing governance, security, and quality practices, testing data movement and transformation code, resolving defects and incidents, and advising customers on technical decisions. The role also supports AI, machine learning, business intelligence, and data product adoption while collaborating across teams and educating end users.

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.

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.

Design and deliver scalable, secure data platforms and architectures (Databricks/cloud) for customers. Split time between billable and pre-sales, lead solution design, mentor teams, ensure data governance and security, validate ETL/data pipelines, produce documentation and presentations, and manage multiple customer accounts to deliver production-ready data solutions.