Technical Lead - Full Stack Data Platforms

• Own the end-to-end architecture of data platform applications, from user interface and service layer to data integration and cloud infrastructure
• Lead and mentor a team of 5-15 full stack and data engineers across onshore and offshore locations, setting priorities, assigning work, and growing individual capabilities
• Define and enforce engineering standards for code quality, API design, testing, security, and documentation; lead code and design reviews
• Make and document key architectural decisions, evaluating build-versus-buy options, technology choices, and tradeoffs with clear rationale
• Serve as the senior technical point of contact for client stakeholders, leading design workshops, presenting architecture to engineering and business leaders, and building trusted relationships
• Plan and estimate delivery, break work into milestones, manage technical risk, and hold teams accountable to fixed-timeline commitments
• Contribute to pre-sales and pursuits: shape solution approaches, write technical sections of proposals, size effort, and present to prospective clients
• Drive reuse across engagements by building accelerators and contributing to the practice’s shared frameworks and best practices
• Hire and onboard engineers, participating in interviews and defining role expectations

Hands-on engineering

• Design and build full stack applications for data platforms and tooling, including configuration UIs, monitoring dashboards, and self-service portals
• Develop responsive, component-based front ends in React with TypeScript, including state management, forms, data grids, and visualizations
• Build backend services and APIs in Node.js and Python (FastAPI, Express, or similar), with sound API design, authentication and authorization, and clean service boundaries
• Architect reusable, configuration-driven frameworks and libraries rather than one-off code, with plugin-style extensibility
• Develop data integration components that move data from databases, files, and APIs into cloud warehouses and data lakes, including full and incremental loads
• Integrate applications with workflow orchestration tools such as Apache Airflow or Dagster
• Design relational data models and work extensively with PostgreSQL and at least one cloud data warehouse (Snowflake, Redshift, Databricks, or similar)
• Deploy and operate applications on AWS using containers, managed databases, object storage, and secrets management
• Establish infrastructure as code, CI/CD pipelines, and automated test coverage across front end and backend
• Build observability into applications through logging, metrics, alerting, and audit trails
• Guide the responsible use of LLM-powered features where they add real value, using platforms such as Amazon Bedrock or OpenAI
• Produce design documentation and lead knowledge transfer to client teams

• Bachelor’s degree in computer science, engineering, or a related field
• 10+ years of overall IT industry experience, with at least 7 years of hands-on full stack development
• 3+ years in a technical lead, lead engineer, or architect role, directly leading engineering teams and owning delivery outcomes
• Proven track record delivering production data platforms or enterprise applications end to end, from architecture through go-live
• Experience leading distributed onshore and offshore teams, including work planning, mentoring, and performance feedback
• Expert React and TypeScript/JavaScript skills, with production applications to show for it
• Strong backend development experience in both Node.js and Python
• Deep experience designing RESTful APIs and service architectures, including OAuth2/SSO integration
• Strong SQL and relational database design skills, ideally PostgreSQL
• Hands-on experience designing data integration or ETL/ELT solutions: extracting from databases, files, and APIs and loading into analytical stores
• Hands-on AWS architecture experience (ECS/EKS or Lambda, RDS, S3, IAM, CloudWatch, or equivalents)
• Docker, Git, CI/CD, and infrastructure as code (Terraform or AWS CDK)
• Excellent written and verbal communication, with a track record of leading client-facing technical discussions, presenting architecture to senior stakeholders, and influencing decisions
• Ability to work independently and make sound decisions under fixed timelines and ambiguous requirements, * Master’s degree in computer science or a related field
• Consulting or professional services experience, including pre-sales, solutioning, and effort estimation
• Experience building internal developer tools, low-code/configuration-driven platforms, or metadata-driven frameworks
• Apache Airflow or Dagster
• Change data capture tools such as Debezium, or experience with Kafka
• Snowflake development and architecture experience
• Data lineage, catalog, or data quality tooling (OpenLineage, OpenMetadata, Great Expectations, or similar)
• Designing and leading delivery of LLM-powered or agentic features in production applications
• Experience in financial services or other regulated industries, including security and compliance requirements
• Agile delivery leadership (Scrum or Kanban), such as running sprint planning and backlog refinement
• AWS (Solutions Architect) or Snowflake certifications