Senior Data Architect

Senior Data Architect - Remote/Hybrid based in Phoenix, AZ

At Coefficient, we help businesses harness the power of their data to drive growth, efficiency, and competitive advantage. As a Senior Data Architect, you will play a pivotal role in designing, implementing, and managing modern data architectures that enable our clients to turn raw data into strategic insights.

In this role, you will collaborate closely with client stakeholders and cross-functional teams to develop scalable, high-performance data ecosystems tailored to their business needs. You will ensure data integrity, security, and accessibility across diverse systems while optimizing data flow, collection, and processing. Beyond architecture design, you will establish and promote best practices, standards, and governance frameworks that empower clients to maintain and scale their data operations effectively.

As a Senior Data Architect at Coefficient, you won’t just build data solutions — you’ll empower businesses to unlock the full potential of their data. If you’re ready to make an impact, push boundaries, and be at the forefront of data-driven transformation, we’d love to have you on board.

• Design and implement scalable, future-ready data architectures that align with clients' business objectives and technology landscapes.
• Develop and maintain data models, databases, and integration frameworks that ensure data consistency, quality, and security.
• Define and implement data storage strategies, including cloud-based solutions, data lakes, data warehouses, and distributed systems to meet diverse client needs.

Data Integration & Management

• Lead the design and execution of ETL/ELT processes, ensuring seamless data integration from multiple sources into unified systems.
• Optimize data pipelines and workflows to ensure high efficiency, reliability, and performance in processing large datasets.
• Manage cloud and hybrid data environments, ensuring scalability, security, and cost efficiency for clients' data operations.

Data Governance & Security

• Establish and enforce data governance frameworks, policies, and standards to maintain data integrity, compliance, and trust.
• Implement robust data security measures, including encryption, access controls, and data masking, in collaboration with client security teams.
• Ensure adherence to regulatory requirements such as GDPR, CCPA, and industry-specific compliance mandates.
• Work directly with client stakeholders, business units, and technical teams to assess data needs and provide tailored solutions.
• Mentor and guide client teams, data engineers, and analysts in best practices for data architecture, governance, and analytics.
• Lead architecture review sessions, providing strategic recommendations and improvements to enhance data-driven capabilities.

Technology Evaluation & Innovation

• Stay ahead of emerging data technologies, cloud platforms, and AI-driven data solutions to enhance client capabilities.
• Evaluate and recommend modern data tools and platforms to drive efficiency and innovation in data management.
• Lead the implementation and integration of new data technologies, ensuring they align with client business goals and IT ecosystems.

Documentation & Reporting

• Develop and maintain comprehensive documentation for data architecture designs, data models, and integration strategies.
• Provide strategic insights and reports to client leadership, outlining data architecture performance, risks, and future opportunities.

Experience:

• 8+ years of hands-on experience in data architecture, data engineering, or related fields, with a strong track record of designing and implementing enterprise-grade data solutions.
• Proven success in architecting and optimizing data ecosystems for large-scale, high-volume, and complex environments, ensuring scalability, reliability, and performance.
• Expertise in data modeling, database design, and data warehousing, with a deep understanding of OLTP, OLAP, and hybrid data processing architectures.
• Experience working in agile, Scrum, or…