Top Tech Jobs & Startup Jobs in Seattle, WA

Designs and delivers Databricks-based data engineering, analytics, AI, and ML solutions for financial services clients. Combines hands-on architecture and implementation with presales support, customer presentations, project oversight, data analysis, quality assurance, documentation, and team mentoring. Requires expertise in modern data platforms, cloud environments, programming, SQL, data integration, governance, security, and scalable production delivery.

Own and grow strategic Financial Services accounts through executive relationship management, consultative selling, renewals, and expansion. Lead commercial strategy, SOWs, negotiations, QBRs, delivery governance, escalations, and value realization. Coordinate delivery, sales, solutions, cloud, and Databricks partners while managing scope, budgets, timelines, margins, retention, profitability, and customer satisfaction. Translate Databricks, data engineering, analytics, ML, AI, and cloud transformation capabilities into measurable business outcomes.

Lead customer engagements combining hands-on data architecture and engineering with presales support. Design, build, deploy, test, and troubleshoot Databricks-based data, AI, ML, and business intelligence solutions. Advise clients on governance, security, quality, integration, and scalability; oversee projects, present solutions, document architectures, mentor engineering teams, and support production deployments. Financial services and banking experience are preferred.

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.

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.