We are looking for a talented data architect to take technical ownership of a mission-critical organization wide master data platform. In this role the engineer will be responsible for implementing sophisticated data structures in a relational database to support a rapidly evolving business. The role will require designing future-proof relational data models to support business needs and planning for migration from current-state architecture to future state architecture. The ideal candidate should have deep experience architecting and managing high sensitivity/high connectivity data platforms in SQL.

Responsibilities

• Create and maintain data pipelines that ingest, transform and stage data.
• Work directly with business and tech partners to design future-state data architecture to support complex relationships between enterprise-critical objects
• Work deeply in SQL to analyze shortcoming of the existing architecture and plot a course for optimizing the model
• Coordinate with various upstream/downstream systems across the organization to establish and maintain data governance standards
• Understand the data model across multiple business domains and appropriately map into cross functional reports and dashboards.
• Work across a number of ongoing projects and delivery streams while prioritizing with the users changes and features.

Skills and Requirements

• 8+ years of experience in data-focused roles
• 5+ years of experience architecting and managing relational data models
• 3+ years of experience in a direct data ownership role with respect to data architecture and/or data quality
• Experience working with data distribution platforms (like Snowflake)
• Expertise in broader-level data ingestion and distribution architecture
• Expertise in SQL
• Ability to identify bottlenecks in relational databases and optimize views, tables and queries for performance
• Comfortable working in either an agile team or independently depending on project needs