Principal Data Architect and Engineer
Indexed description
The ideal candidate will have deep expertise building cloud-native data platforms using Apache Iceberg, Amazon S3 Tables, Lake Formation tag-based access control, DynamoDB single-table design, CloudFormation, and API Gateway with custom authorizers. They will champion Test-Driven Development (TDD), Great Expectations-based data quality validation, and metadata-driven engineering practices to ensure trusted, governed, and reusable data assets that power enterprise analytics, customer 360, AI/ML, and data-driven decision-making across the organization.
- Lead the ongoing evolution, optimization, and governance of HomeServe’s AWS-based enterprise Lakehouse platform, ensuring scalability, reliability, security, and operational excellence.
- Enhance and support existing metadata-driven ingestion, transformation, and orchestration frameworks, improving performance, maintainability, observability, and developer productivity.
- Design, implement, and optimize batch and real-time data processing solutions leveraging AWS Glue, Lambda, Apache Iceberg (Amazon S3 Tables), Redshift, and related cloud-native services.
- Manage and continuously improve enterprise data governance and privacy capabilities, including PII tokenization, right-to-erasure workflows, data lineage, and Lake Formation tag-based access controls.
- Expand and maintain Customer 360 and Master Data Management (MDM) capabilities, including entity resolution, identity matching, and stewardship processes across enterprise data domains.
- Establish and enforce architecture, engineering, and operational standards for a small data engineering team, promoting consistency, quality, and scalability across platform components.
- Drive adoption of DataOps and DevOps best practices, including CI/CD automation, Test-Driven Development (TDD), automated data quality validation, and fully ephemeral environments for pull requests and feature branches.
- Develop and maintain operational runbooks, monitoring, alerting, and incident response processes, serving as a technical escalation point and incident commander during critical platform events.
25%
Platform engineering (libraries, IaC, CI/CD)
25%
Pipeline build
20%
Operations and incident response
15%
Stakeholder architecture work and mentoring
15%
Total
100%
Job Requirements
- BS in Computer Science or relevant field bachelor’s degree with an advanced degree preferred.
- Acts as a forward-deployed senior engineer and technical authority for the data platform who is embedded with business stakeholders, setting standards, leading design reviews, and growing the team.
- Deep, recent, hands-on experience as the technical owner of a production AWS Lakehouse.
- Development of automated deployment frameworks and CI/CD pipelines to support efficient and reliable data platform releases.
- Implementation of comprehensive data validation, monitoring, and quality assurance processes to ensure data accuracy, consistency, completeness, and reliability.
- Strong analytical, verbal and written communication and interpersonal skills.
- Willingness to travel is required.
This job description is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.
Salary Range (Norwalk, CT): $125,932.60 - $167,910.13
Annual Bonus Potential: 10%
HomeServe USA is an equal opportunity employer.
#HUSA
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