Data Architect at Cobalt Service Partners

Akhaltsikhe, Samtskhe-Javakheti, Georgia -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

0.0

Posted On

12 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Lakes, Data Warehouses, Data Pipelines, Data Modeling, ETL, ELT, Data Integration, Data Quality, Data Governance, Business Intelligence, Power BI, Looker, AWS, Azure, Analytical Skills

Industry

Facilities Services

Description

Position: Data Architect Organization: Cobalt Service Partners – Alpine Investors Portfolio Company – (https://cobaltsp.com) Location: Flexible (Remote within the U.S.) Reports To: Senior Leadership (Data & Analytics) Cobalt Service Partners Overview Cobalt Service Partners is a private equity–backed platform building the leading commercial access and security integration business in North America. Our partner companies design, install, and service mission-critical systems including access control, video surveillance, intrusion detection, and related low-voltage infrastructure for enterprise, institutional, and commercial customers. Backed by Alpine Investors, a private equity firm specializing in middle-market companies in the services and software industries with $15B+ in AUM, Cobalt has scaled rapidly since launch. With more than 40 acquisitions completed in a highly fragmented operating environment, Cobalt is building a differentiated, data-driven platform designed to scale through both organic growth and M&A. Cobalt’s Core Values Are Unwavering stewardship: We believe advancing founders’ legacies is a privilege. We do right by our founders, teams, and customers in good times and in bad. Excellence in action: We hold ourselves accountable to the highest standards. We’re bold in our pursuits, don’t make excuses, and relentlessly empower each other to get the job done. Seek and tell the truth: We’re honest with ourselves and others. We do what we say we’ll do, say what needs to be said, and search for the right answer regardless of where it comes from. Love learning: We’re always learning as individuals, as a team, and as a business. We show up humble, curious, and with the courage to change our minds. Enjoy the ride: We’re fired up by our mission, love our team, and don’t take either for granted. We show up authentically, assume best intent, and try not to take ourselves too seriously. Position Overview The Data Architect will play a foundational role in shaping Cobalt’s enterprise data strategy and long-term architecture. This role is responsible for designing, building, and scaling a modern data lake and analytics infrastructure — including standing up core data models and dashboards — to support a rapidly growing, private-equity-backed platform with more than 40 distinct source systems. This is a true zero-to-one role, ideal for someone who has built data environments in startup or early-scale settings and enjoys turning ambiguity into structure. Reporting into senior leadership, the Data Architect will operate with significant autonomy and ownership, serving as the technical authority on data architecture, analytics, and visualization across the organization. This is a highly impactful role for someone who thrives in complex environments and wants to define how data enables decision-making for years to come. Key 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 Qualifications 3+ years of hands-on experience with Snowflake, including designing and implementing data lakes and warehouses 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 Core Competencies Enterprise Data Architecture Expertise: Deep understanding of modern data lake and analytics architectures Autonomy & Ownership: Thrives as a single-threaded owner responsible for critical systems and outcomes Comfort with Ambiguity: Able to bring structure to unclear problems and evolving requirements Commercial Judgment: Understands how architecture and data decisions impact the business today and in the future Executive Communication: Translates complex technical concepts into clear, actionable insights for leaders Quality & Rigor: Maintains high standards for scalability, reliability, and performance Compensation and Timing Compensation will be competitive and commensurate with experience. Cobalt offers a comprehensive benefits package including healthcare, 401(k) match, and flexible time off. Cobalt is looking to add this role in the near term as a critical investment in the company’s future.

Responsibilities

The Data Architect will design, build, and scale a modern data lake and analytics infrastructure to support the organization. This role involves integrating disparate source systems and ensuring data quality and governance.