Dear Mohd,
We are delighted to reach out to you on behalf of SoftSages Technology, a rapidly expanding IT and staffing company headquartered in Malvern, PA. We take immense pride in serving critical clients across various sectors, including federal, commercial, and healthcare industries. Our commitment to excellence extends beyond just our clients, as we firmly believe that our consultants are equally vital to our success.
We are currently seeking dynamic individuals like yourself to join our diverse and inclusive team. At SoftSages, we foster an environment that promotes diversity, inclusion, and equality, valuing the unique perspectives and experiences each team member brings. As a part of our team, you will have the opportunity to work on exciting projects that drive innovation and make a positive impact.
Attached, you will find a job description for a position that aligns perfectly with your skills and expertise. If you are passionate about contributing to a vibrant, collaborative, and forward-thinking work culture, we invite you to explore this opportunity further.
Job Title: Senior Enterprise Data Architect
Location: ON SITE in Providence, RI Local Profiles Only
Duration: 6+ Months
Interview Mode: Video
Qualifications
Minimum Education and Experience
Bachelor's degree in Computer Science, Information Science, or related field, or equivalent experience.
10 or more years of experience in data architecture, data engineering, or related disciplines.
10 or more years of experience designing logical and physical data models for complex, cross-domain environments (relational, dimensional, and/or canonical).
8 or more years influencing enterprise-level technical architecture decisions.
Experience with modern ELT/ELT development patterns, data orchestration methodologies, and cloud-native architecture best practices.
Required Knowledge & Skills
Technical
Hands-on, advanced expertise with Snowflake as a cloud data platform, including advanced features (Snowpipe, Streams & Tasks, performance optimization, and governance capabilities).
Experience with modern ELT tools such as Matillion, dbt, or similar.
Strong experience with modern storage paradigms - NoSQL, data lakes, unstructured content management.
Strong experience with modern integration patterns - APIs, FHIR, event streaming, real-time data flows.
Advanced knowledge of industry-leading BI tools (such as Power BI)
Strong experience with layered/lakehouse architectures (e.g., raw/bronze, conformed/silver, curated/gold).
Strong background in designing canonical models, conformed dimensions, and large-scale data integration patterns.
Experience in healthcare or health insurance industry, especially with claims, clinical, provider, and member data.
Shawn Wood