Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Empower Professionals, is seeking the following. Apply via Dice today! Role: Information Management / Databricks Architect Location: Remote Duration: 12+ Months Operational Data Stack: SQL Server / T-SQL , COBOL Flat Files, Dapper / ORM, C# / .NET 8 ,ASP.NET Core APIs Cloud & Analytics Platform: AWS (S3, Glue, Athena, RDS),Databricks / Apache Spark , Amazon Bedrock , Delta Lake ,AWS IAM / Lake Formation Data Engineering & Governance: ETL / ELT Pipeline Design, Medallion Architecture , Data Catalog & Lineage, Data Governance Frameworks , BI / Semantic Layers Responsibilities Design and govern TAI''s enterprise data architecture — spanning the operational SQL Server core, cloud-native data stores on AWS, and modern analytics platforms including Databricks Define the data platform strategy that supports TAI''s evolution from client-installed deployments to a centralized, multi-tenant SaaS model — including data isolation, partitioning, and residency patterns for regulated insurance data Architect data ingestion pipelines that consolidate data from TAI''s diverse client environments (SQL Server, COBOL flat files, network-share repositories) into unified analytics-ready stores Own data quality frameworks: define validation rules, lineage tracking, and observability tooling for all data pipelines Expert knowledge of schema design, medallion architecture (Bronze/Silver/Gold), and data contract standards for central data lakes and analytical platform Professional experience building AI data platforms — ensuring training datasets, feature stores, and inference pipelines are governed, reproducible, and audit-ready Define and enforce data governance standards across TAI''s platform — including data classification, PII handling, retention policies, and access controls appropriate for insurance-regulated environments Ensure data architecture designs comply with state insurance regulatory requirements, SOC 2 controls, and client contractual obligations around data residency and sovereignty Architect role-based data access patterns that support multi-client isolation: no client should be able to access or infer data belonging to another carrier Own the data catalog and metadata management strategy — ensuring all data assets are discoverable, documented, and trusted Partner with the TAI Architecture and Engineering to ensure data architecture aligns with platform architecture — no silos between operational systems and analytics Mentor engineers in data engineering best practices: pipeline design, SQL optimization, dimensional modeling. Engage with client-facing teams to understand reporting and data export requirements across TAI''s client base, translating them into scalable platform features Thanks Yashasvi Hasija Team Lead | Empower Professionals | Phone: x 368 | Fax: LinkedIn: linkedin.com/in/yashasvi-hasija-6a745625b 100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873 Certified NJ and NY Minority Business Enterprise (NMSDC)