Data Architect
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Job Description
Data Architect responsible for building data architecture and analytics infrastructure at Cobalt Service Partners. Leading technical authority on data architecture and visualization within a high-growth environment.
Responsibilities:
- Architect & Scale Modern Data Infrastructure – Design, build, and optimize scalable data lakes, warehouses, and data pipelines using Snowflake and modern cloud platforms (AWS or Azure) to support enterprise reporting, analytics, and advanced use cases
- Own Data Modeling & Transformation Layers – Develop and maintain robust data models (ELT/ETL), ensuring clean, reliable, and well-documented datasets that serve as the foundation for business intelligence and operational reporting
- Build & Maintain Scalable Data Pipelines – Design and manage end-to-end data pipelines that ingest, transform, and unify data from multiple systems into a centralized, high-performance data environment
- Integrate Disparate Source Systems – Lead the integration of fragmented operational, financial, and HR systems into a cohesive architecture that enables reliable cross-system reporting and insights
- Translate Business Needs into Technical Architecture – Partner with stakeholders to understand current and future business requirements, translating them into scalable system design, data standards, and architectural decisions
- Ensure Data Quality, Governance & Performance – Establish standards for data reliability, security, scalability, and performance as the platform grows through acquisition and expansion
- Navigate Ambiguity with Curiosity – Ask thoughtful questions, explore data proactively, and bring structure to evolving requirements in a fast-paced, high-growth environment
- Data Visualization & Reporting – Design and deliver dashboards using Power BI, Looker, or Sigma, ensuring insights are accessible, actionable, and aligned with leadership priorities
Requirements:
- 3+ years of hands-on experience with Snowflake
- Deep experience building and managing data pipelines, transformation layers, and scalable data models in a production environment
- Experience owning zero-to-one data architecture in a startup, PE-backed, or high-growth environment
- Experience with modern BI and visualization tools such as Power BI, Looker, or Sigma
- Familiarity with AWS and/or Azure cloud environments
- Strong business acumen with the ability to balance immediate reporting needs and long-term architectural vision
- Proven ability to operate independently, navigate ambiguity, and deliver high-quality work with minimal oversight
- Highly inquisitive mindset with a natural inclination to dig deep and understand the “why” behind the data
Benefits:
- Health insurance
- 401(k) match
- Flexible time off
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