Senior Data Architect defining comprehensive data strategy and architecture for AI. Delivering organization’s data vision and ensuring governance and technical oversight of enterprise data architecture.
About the role
- Data Engineer II building pilot datasets and production-grade data platforms at GeoComply. Collaborating with product teams to deliver data-driven features for geolocation compliance.
Responsibilities
- Build Pilot Datasets: Rapidly design and develop experimental data models and datasets to support pilot product features and validate hypotheses.
- Bridge Business & Data: Collaborate closely with product managers to translate functional requirements into initial data schemas and logic.
- Ad-Hoc to Self-Serve: Construct initial logic for ad-hoc data requests and evolve them into standardized, self-serve tools for the product team.
- Productionize Pipelines: Take successful pilot datasets and transform them into robust, production-grade data pipelines. Refactor "pilot code" to follow best practices, ensuring high performance and data quality in the production environment.
- Foundation Development: Build and maintain the internal libraries, services (Airflow), and Databricks jobs required to run these datasets at scale.
- Project Management: Manage the lifecycle of data products from "epic-size" concepts through to delivery and maintenance.
- Stakeholder Communication: Effectively communicate technical constraints and data insights to stakeholders during the transition from pilot to production.
- Product Ideation: Actively contribute ideas on how data can drive new product benefits during weekly team calls.
Requirements
- Four (4) years of relevant experience, with a focus on bridging database technology with product requirements.
- You possess strong product thinking skills—the ability to analyze requirements, identify customer pain points, and build data solutions that contribute directly to the product vision.
- Strong skills in Databricks, Spark/PySpark, and SparkSQL to manipulate heavy datasets during both the discovery and production phases.
- Extensive experience with MySQL (for operational data) and NoSQL, with an understanding of how to model data for analytics vs. applications.
- Proven ability to operate on epic-size projects, specifically managing the timeline from "proof of concept" to "delivered feature".
- Strong interpersonal skills, adept at explaining complex data concepts to non-technical product stakeholders.
- Familiarity with Git, Linux environments, and the Prom/Loki Stack for monitoring data health
Benefits
- Competitive salaries
- Incentives
- Comprehensive benefits program
- Professional development budget
- Local training opportunities
- Knowledge-sharing sessions
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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