Top Tech Jobs & Startup Jobs in Seattle, WA

The Investment Technology Business Analyst will deliver front-office technology and data implementations for asset and wealth management clients. Responsibilities include business analysis, SQL-based data work, data modeling, governance and quality management, cloud data platform implementation, and expertise across investment processes such as risk, performance, compliance, reporting, derivatives, operations, or investment data. The role also involves leading small to medium-sized consulting teams, developing technical solutions, managing client relationships, and traveling as needed.

Designs, builds, and maintains Azure-focused CI/CD pipelines and Terraform-managed infrastructure for client environments, with AWS support on cross-cloud engagements. Advises on infrastructure security, containerization, Kubernetes deployments, reliability, and troubleshooting across application layers. The role also mentors engineers, documents reusable DevOps patterns, presents technical solutions to stakeholders, and helps establish repeatable architectures across client engagements.

Build and optimize data pipelines, applications, ETL processes, data models, warehouses, integrations, and reporting solutions for financial services clients. The role analyzes requirements, performs data profiling and source-to-target mapping, supports cloud and data migration initiatives, documents technical approaches, collaborates with client and project teams, contributes to internal accelerators, and mentors junior consultants.

Leads consulting engagements for RIAs and independent wealth firms, managing project teams, advising senior clients on operating model and technology transformations, supporting business development, and developing wealth management capabilities. Responsibilities include strategy, technology modernization, advisor and client experience, investments, data, workflow, AI-enabled operating models, thought leadership, client relationship management, and mentoring consultants.

Design, implement, and maintain data pipelines, integrations, and data architecture using Snowflake and related tools. Support insurance-sector consulting engagements by analyzing data, developing solutions, troubleshooting engineering issues, and presenting recommendations to clients. Collaborate with cross-functional stakeholders, apply data governance and quality practices, and contribute to multiple initiatives. The role requires consulting experience, financial services knowledge, strong communication, and travel of up to 75%.

As a Solution Architect, you will define and lead data platform deliveries, manage implementation teams, translate requirements into designs, and mentor team members.

Designs, implements, and maintains data pipelines, integration solutions, and data architecture using Snowflake and related data engineering tools. Analyzes insurance industry challenges, develops solutions, supports consulting engagements, presents recommendations, and collaborates with client stakeholders. The role also requires data modeling, ETL, cloud platforms, data governance, troubleshooting, and the ability to manage multiple initiatives while traveling up to 50%.

Leads end-to-end Yardi implementation projects, managing scope, schedules, budgets, risks, resources, governance, data conversion, configuration, testing, training, change management, go-live, and stabilization. Coordinates functional, technical, and business stakeholders while tracking project financials, vendor deliverables, dependencies, and executive communications.

Lead enterprise architecture for client reporting programs: set strategy for cloud data platforms, end-to-end pipelines, integrations, governance, and delivery. Guide program planning, chair governance, mentor teams, drive best practices, and commercialize client reporting offerings. Act as senior advisor to clients and accountable owner for architecture and delivery excellence.

Designs and leads end-to-end Sigma business intelligence and client reporting implementations for asset and wealth management clients. Responsibilities include data architecture, integrations, semantic modeling, dashboards, governance, project planning, testing, documentation, client communication, team mentoring, and promoting implementation best practices. The role also contributes to internal BI propositions and accelerators and requires occasional client travel when needed.