Enterprise Data Architect

Define conceptual, logical, and canonical data models to establish enterprise information architecture standards. Design reusable data products, schemas, and API-first interfaces to prevent data duplication across systems. Architect data warehouse and data mart solutions utilizing Snowflake, Databricks, MongoDB, and cloud services. Establish data governance frameworks including data catalogs, lineage tracking, observability, and quality standards. Formulate data migration strategies and target-state data architectures for legacy system modernization initiatives. Implement semantic layers and knowledge graphs to ensure enterprise information assets are suitable for AI use cases. Partner with product engineering and security teams to embed data classification, privacy, and regulatory controls by design. Founded in 1999, Resourcesoft, Inc. is a leading Technology Consulting and Professional Services organization. Headquartered in Marlborough, MA, the company serves the technology needs of its clients nationwide. Resourcesoft has often been recognized by prominent rating agencies for its exemplary growth and stability. With over two decades of industry experience, the Company has evolved as a front runner in enabling project optimization. We partner with leading organizations to provide technology solutions within the financial, insurance, education, government, publishing, healthcare and pharmaceutical domains. We take pride in mentoring a workforce that is well positioned to respond to the emerging IT trends and needs. With the employees at the crux of every business endeavor, our success is driven by our expertise in pairing the right talent with the best jobs in the technology sector. We forge long term, personalized relationships with our employees to advance their career to the next level. We engage them in technology centric client projects that provide opportunities for them to evolve, innovate and deliver world class products and services. Our career opportunities offer challenging assignments and exposure to emerging and cutting edge technologies. We are committed to providing our employees with the tools necessary to accelerate their career progression, while maintaining a healthy, work-life balance. We are deeply committed to providing a workplace ambience that is both challenging and fulfilling.

10 or more years of experience in enterprise data architecture and information architecture. Proficiency in conceptual, logical, and canonical data modeling alongside Master Data Management (MDM) concepts. Experience with cloud data platforms including Snowflake, Databricks, MongoDB, AWS, and Azure. Experience in enterprise data governance, data cataloging, lineage tracking, and metadata management. Experience with designing API-first data products, semantic layers, knowledge graphs, and AI-ready data models. Experience in data security, privacy controls, and regulatory compliance standards for sensitive datasets. Excellent verbal and written communication skills.