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Data Lead – Architecture, Ingestion, Platform Enablement
xScion SolutionsData Lead responsible for end-to-end Data Hub solution architecture at xScion. Collaborating on cloud platforms like AWS and Databricks for enterprise clients' needs.
Tech Stack
Tools & technologiesAmazon RedshiftAWSCloudUnity
About the role
Key responsibilities & impact- Translate RFQ scope and OEB objectives into a solution blueprint spanning ingestion, storage, access, and analytics for DB/DC/Health benefits data
- Design the secure, cloud-based Data Hub architecture (AWS, Databricks, Redshift, Glue, cataloging) optimized for performance, scalability, data quality, and resilience
- Produce logical and physical data models for structured/semi-structured sources from third-party recordkeeper and internal systems, ensuring IV&V testability
- Define standards for file formats, schemas, metadata, data versioning, and reconciliation patterns supporting analytics, IV&V, and audit readiness
- Design and prototype ingestion pipelines, transformation jobs, and storage layouts aligned to architecture and IV&V requirements
- Advise on query optimization, clustering/partitioning, workload management, cost controls, and monitoring for DB/DC/Health datasets in Redshift and Databricks
- Support troubleshooting of data-quality or performance issues identified during IV&V and testing
- Partner with Governance, Security, and IV&V leads to ensure delivery within the June–November term and support the November 2026 go-live goal.
Requirements
What you’ll need- Permanent Residency or US Citizenship
- Bachelor's degree in Computer Science, Information Systems, Business IT Management or equivalent practical experience
- 8+ years in data architecture or data engineering with at least 3 years in cloud data platform roles
- Hands-on AWS data services experience: S3, Glue, Glue Data Catalog, Redshift, Athena, or equivalent
- Databricks experience required — Unity Catalog, Delta Lake, and ingestion pipeline design strongly preferred
- Proficiency designing RBAC and ABAC security models for sensitive or regulated data environments
- Strong data modeling skills (logical/physical), schema design, and metadata management
- Experience ingesting structured and semi-structured data from third-party or external recordkeeper systems
- Ability to produce architecture documentation and standards that can be reviewed and validated by an independent IV&V team
Benefits
Comp & perks- Medical
- Dental
- 401(k) match
- Flexible spending
- Up to 27 days off a year
- Remote work opportunities
- Parental leave
- Wellness benefits
ATS Keywords
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Hard Skills & Tools
data architecturedata engineeringdata modelingschema designmetadata managementquery optimizationRBAC security modelsABAC security modelsingestion pipeline designcloud data platform
Soft Skills
troubleshootingcollaborationcommunicationdocumentation