Technical Lead – Full Stack Data Platforms

Technical Lead – Full Stack Data Platforms
Job Duration: 6 months
Job Address: 100 Summer St 12th floor, Boston, MA 02110, United States
Work Location Type: Onsite
Experience: 10+ years (7+ in full stack development, 3+ leading engineering teams) Education: Bachelor's degree; Master's preferred

About the role

Mastek's Data & AI practice builds data platforms, accelerators, and custom tools for enterprise clients across financial services, insurance, healthcare, and manufacturing. We are looking for a Technical Lead who combines deep, hands-on full stack expertise with the leadership to own delivery end to end. You will set the technical direction for data products spanning React front ends, Node.js and Python services, data integration, and AWS deployment. You will lead onshore and offshore engineering teams, act as the senior technical voice with client stakeholders, and remain an active contributor to architecture and code.

What you will do

Technical leadership

• 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 county 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

Required qualifications

• 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

Preferred qualifications

• 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