Data Architect

Sapsol Technologies Inc•Sacramento, CA

8h•Hybrid

About The Position

The Senior Data Architect designs and implements scalable data solutions using modern technologies and toolsets. The role involves designing and architecting scalable, secure, modern cloud-native data solutions; working with business partners and IT leadership to understand business requirements; and collaborating with the broader IT team to build data-platform capabilities that meet current needs and accommodate future growth. The position is contract-to-hire and requires onsite work two days per week in Oakland, California, or Rancho Cordova, California. Candidates must have GC, U.S. citizenship, or EAD work authorization; GC or U.S. citizenship is preferred.

Requirements

At least 4 years of experience in modern cloud data architecture or related fields.
Bachelor's degree in Computer Science or a related discipline.
Deep understanding of modern data and analytics platforms and technologies, including Snowflake, Matillion, Microsoft Fabric, Power BI, Tableau, and other industry-leading solutions.
Proven experience designing and delivering enterprise data solutions, including data warehousing, data lakes, lakehouse architectures, data management, integration, and analytics platforms.
Extensive experience architecting end-to-end, scalable data platforms using modern cloud technologies; Microsoft Azure is preferred. Experience with cloud-native, hybrid, or multi-cloud architectures is also required.
Ability to translate business requirements into scalable data architectures and solutions, and communicate complex technical concepts to technical and non-technical stakeholders.
Strong understanding of data architecture patterns and technology capabilities across ingestion, storage, processing, analytics, APIs, and microservices, including the ability to evaluate and select appropriate technologies.
Experience collaborating with vendors and third-party partners to deliver solutions aligned with enterprise architecture, security, and data standards.
Strong foundation in data governance, data quality, security, privacy, and regulatory compliance within enterprise data environments.
Excellent stakeholder management and communication skills, with the ability to influence decisions, facilitate collaboration, and drive alignment across cross-functional teams.
Experience architecting data platforms that enable advanced analytics, AI/ML, MCP, and Generative AI use cases while maintaining appropriate governance, security, scalability, and performance.
Must have GC, U.S. citizenship, or EAD work authorization; GC or U.S. citizenship is preferred.

Nice To Haves

Experience with Microsoft Azure.
GC or U.S. citizenship work authorization is preferred.

Responsibilities

Lead the design and architecture of end-to-end data solutions, translating business strategy and requirements into scalable, secure, high-performing architectures.
Define target-state data architectures and blueprints, including data flows, integration patterns, storage strategies, data processing, and consumption layers.
Establish and govern standard architecture patterns for data ingestion, ETL/ELT transformation, integration, interoperability, and data sharing across platforms and domains.
Architect scalable and resilient data pipelines and workflows, optimizing performance, cost, reliability, and operational efficiency.
Design cloud-native data architectures that leverage modern data platforms for elasticity, resilience, modularity, and scalability.
Enable AI/ML capabilities through data architectures supporting experimentation, feature engineering, model development, deployment, and production consumption.
Incorporate data governance, security, privacy, and compliance by design, including access controls, data classification, masking, lineage, and regulatory requirements.
Design for interoperability and seamless data exchange across applications, data domains, platforms, and external systems.
Lead evaluation and selection of data technologies and platforms with IT, Enterprise Architecture, and business stakeholders, aligning choices with enterprise capabilities and strategy.
Collaborate with Enterprise Architecture, Infrastructure, Application Development, Data Engineering, and business teams to define technology roadmaps, capabilities, and solution strategies.
Provide architectural oversight and governance for data solutions and cloud-native data platforms, ensuring adherence to enterprise standards and addressing risks, gaps, dependencies, and architectural trade-offs.
Drive innovation through feasibility assessments, proofs of concept, and pilots that evaluate emerging technologies and validate architectural approaches.
Provide architectural oversight for vendor and third-party data solutions, ensuring alignment with enterprise architecture, security, integration, and data standards.
Participate in architecture governance forums, contributing to design reviews, architecture decisions, approvals, and continuous improvement of enterprise data architecture.
Mentor and guide data architects and engineers, promoting architecture best practices, design excellence, and continued capability development.