Data Integration Architect

HomeServe USA•Norwalk, CT

16h•$125,933 - $167,910•Onsite

About The Position

The Data Integration Architect supports the design and development of enterprise data integration solutions that enable secure, scalable, and reliable data exchange across the organization. Working with system architects and technical teams, this role helps align integration solutions with business objectives, data governance requirements, and enterprise architecture standards. The role contributes to system and data transformation initiatives by supporting the modernization of siloed legacy environments into a unified, scalable, and cloud-optimized data ecosystem. The role supports enterprise data integration architecture roadmaps, standards, frameworks, and technical documentation; collaborates with Enterprise Architecture, business stakeholders, technical teams, and vendors; and assists with designing and implementing integration solutions for enterprise data and system transformation initiatives. Essential functions are allocated as follows: 50% to supporting architecture, roadmaps, standards, frameworks, and documentation; 30% to stakeholder and vendor collaboration and alignment; and 20% to assisting with integration solution design and implementation.

Requirements

At least 7 years of work experience as a Data Architect, Senior Data Analyst, or in a similar role.
Experience gathering and analyzing system requirements.
Experience supporting cloud data platforms and modern data architectures.
Proven track record leading cross-functional, enterprise-wide integration initiatives.
In-depth understanding of data structure principles, ETL, and multi-system integration strategies.
Expertise in SQL, Python, and various data stores, including RDBMS and enterprise applications such as CRM, ERP, and billing systems.
Familiarity with data visualization tools.
Bachelor’s degree in Computer Science or a relevant field.
Experience working in regulated business operations.
Ability to synthesize and communicate issues to diverse stakeholders verbally and in writing.
High-quality written and oral communication skills and attention to detail.
Willingness to travel as required.
Ability to meet the position’s physical demands, including regularly listening, talking, and hearing; frequently using hands or fingers to handle or feel objects, tools, or controls; occasionally standing, walking, sitting, reaching, and lifting or moving up to 15 pounds. Specific vision abilities include close and distance vision and adjusting focus.

Nice To Haves

An advanced degree is preferred.

Responsibilities

Support the development and maintenance of enterprise data integration architecture roadmaps.
Ensure data integration designs align with business objectives and enterprise technology strategy.
Partner with Enterprise Architecture teams to support architecture planning and design reviews.
Document data flows across applications, databases, cloud platforms, and analytical systems.
Assist in evaluating integration approaches, including APIs, data pipelines, and batch processing.
Support data migration planning for system modernization and transformation initiatives.
Apply established integration standards, frameworks, and design patterns.
Promote reusable integration patterns and consistent design practices across systems.
Create and maintain architecture diagrams and integration blueprints.
Develop technical specifications and interface documentation.
Update documentation to reflect changes in systems, interfaces, and integration designs.
Collaborate with data engineers, application developers, business analysts, and analytics teams to support integration initiatives.
Work with senior architects and technical stakeholders to clarify requirements and resolve design questions.
Assist in identifying architectural gaps, integration risks, and design issues.
Identify opportunities to improve integration consistency, reusability, and maintainability.
Contribute to continuous improvement of integration standards, documentation, and practices.
Coordinate with business stakeholders and external vendors to gather integration requirements and support solution design.
Support the design and implementation of secure, scalable, and reliable data integration solutions for enterprise data and system transformation initiatives.