
Senior Data Solutions Architect
23 hours ago
We are seeking a seasoned expert to lead the design and implementation of a scalable data foundation for our enterprise SaaS and AI-driven products.
The ideal candidate will oversee the development of clean, efficient models, drive data platform strategy, and foster a culture of high-velocity product development.
Key Responsibilities:
- Create, maintain, and refine a robust semantic layer and modular dbt pipelines.
- Own schema design, documentation, and data contracts across the analytics and application layer.
- Define and enforce data platform best practices, versioning, and governance for all data models.
- Implement data testing, observability, and quality automation to ensure confidence at scale.
- Select and implement tools across the modern data stack.
- Collaborate with engineering, product, and analytics teams to ship reliable data-backed features.
- Mentor a team of engineers and participate in architecture planning and reviews.
Requirements:
- 10+ years of experience in backend or data engineering roles.
- Deep expertise designing and maintaining normalized and dimensional data models.
- Advanced skills in dbt (macros, packages, tests, modularization, docs).
- Expert in SQL, with a focus on PostgreSQL.
- Strong Python scripting for transformation logic and automation.
Preferred Experience:
- Proven experience with tools in the modern data stack, including dbt, PostgreSQL, Airflow, Dagster, Great Expectations, Fivetran, GitHub Actions, Terraform, and Oracle 12c.
- Familiarity with ERP/financial schema structures (chart of accounts, ledgers, invoicing).
Leadership & Communication:
- 6+ years in engineering leadership, architecture, or tech lead roles.
- Excellent collaboration skills across engineering, product, and analytics.
- Strong communicator—can author technical documentation and explain system tradeoffs.
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