Position Overview:
The Principal Data Architect/Engineer will lead the design, development, and evolution of HomeServe’s metadata-driven AWS Lakehouse platform, combining strategic architecture leadership with hands-on engineering expertise. This role is responsible for delivering scalable, secure, and high-performance data solutions based on Medallion architecture, including Bronze ingestion, PII Vault tokenization, Silver-layer Apache Iceberg (Amazon S3 Tables), and Gold-layer Amazon Redshift data products. The position will drive DataOps automation, governance implementation, and fully ephemeral feature-branch environments to accelerate the delivery of analytics, reporting, and AI/ML capabilities.
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.
Essential Functions:
Essential Job Function
% of Time on Function
Architecture and design
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.
Minimum Physical Requirements:
The physical demands described represent those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions of the position for which they work. While performing the duties of this position, the employee is regularly required to listen, talk and hear. The employee frequently is required to use hands or fingers, handle or feel objects, tools, or controls while executing tasks like working on a computer or talking on the telephone. The employee is occasionally required to stand; walk; sit; and reach with hands and arms. The employee must occasionally lift and/or move up to 15 pounds. Specific vision abilities required by this position include close vision, distance vision, and the ability to adjust focus. The noise level in the work environment is usually moderate to low.
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 #LI-NM1 #LI-ONSITE
Equal Opportunity EmployerThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Skills Required
- BS in Computer Science or relevant field
- Advanced degree (MS/PhD)
- Act as forward-deployed senior engineer and technical authority for the data platform
- Deep, recent, hands-on experience as technical owner of a production AWS Lakehouse
- Experience designing and implementing pipelines with Apache Iceberg and Amazon S3 Tables
- Experience with Lake Formation tag-based access control and PII tokenization/right-to-erasure workflows
- Experience with DynamoDB single-table design
- Experience with AWS CloudFormation and Amazon API Gateway (including custom authorizers)
- Experience building automated deployment frameworks and CI/CD pipelines for data platforms
- Experience with AWS Glue, AWS Lambda, and Amazon Redshift for batch and real-time processing
- Experience implementing automated data validation and monitoring (Great Expectations, TDD practices)
- Strong analytical, verbal, written communication and interpersonal skills
- Willingness to travel
What We Do
Finding the happy since 2003. HomeServe takes pride in putting people at the heart of everything we do. From our customers to our technicians to our employees, caring is at the core of our culture. That’s why for the past four years, we’ve been rated a “Great Place to Work” certified employer. At HomeServe, we strive to provide a workplace where our nearly 3,000 employees feel welcomed, acknowledged, heard, and respected. Our strong commitment to a formal Diversity and Inclusion strategy and through our HomeServe Cares Corporate Social Responsibility initiatives, HomeServe is committed to putting our employees, our customers, and our communities first. For over 20 years, HomeServe has been a leading provider of home repair solutions in North America providing home repair plans that help protect our customers’ budgets from the expense and inconvenience of water, sewer, electrical, plumbing, HVAC, and other home repair emergencies. We have helped to save our customers over one billion dollars in home repairs by providing affordable home repair coverage and exceptional, local repair service. HomeServe is a BBB Accredited Business that is dedicated to putting a smile on the faces of nearly 5 million customers across the U.S. and Canada. For more information about HomeServe, please visit us at www.homeserve.com. Connect with us: Facebook: @HomeServeUSA Twitter @HomeServeUSA Instagram: @homeserve_usa For B2B news and information, follow us on Twitter @HomeServeUSNews.







