Senior Data Architect

Tranzeal Incorporated; Oakland (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Tranzeal Incorporated is seeking a Senior Data Architect to design scalable, secure, and cloud-native data solutions. You will partner with business and IT leadership to translate business needs into enterprise data architectures and technology roadmaps.

Responsibilities include designing end-to-end data platforms, defining lakehouse and data warehouse architectures, establishing standards for governance and security, and shaping AI/ML data solutions while mentoring architects and engineers.

Qualifications

• 10+ years of modern cloud data architecture experience.
• Bachelor's degree in Computer Science or related field.
• Experience with Snowflake, Matillion, Microsoft Fabric, Power BI, and Tableau.
• Experience with data warehouses, data lakes, lakehouse architectures, data integration, and analytics platforms.
• Strong Azure/cloud-native architecture experience; hybrid or multi-cloud experience is a plus.
• Knowledge of ETL/ELT, APIs, microservices, data governance, security, privacy, quality, and compliance.
• Experience translating business requirements into scalable data solutions.
• Strong stakeholder management and communication skills.
• Experience architecting data platforms for AI/ML and Generative AI use cases.

Responsibilities

• Design end-to-end data platforms, including ingestion, ETL/ELT, storage, integration, analytics, and data consumption.
• Define scalable cloud, lakehouse, data warehouse, and data lake architectures.
• Establish standards for data integration, interoperability, governance, security, and data sharing.
• Design data solutions supporting AI/ML, Generative AI, MCP, and advanced analytics.
• Evaluate and recommend data technologies and platforms.
• Provide architecture governance, design reviews, POCs, and technology assessments.
• Partner with Enterprise Architecture, Data Engineering, Infrastructure, Application Development, vendors, and business teams.
• Identify architectural risks, dependencies, and trade-offs.
• Mentor architects and engineers and promote data architecture best practices.

Skills

Cloud data architecture

Stakeholder management

Communication skills

AI/ML data solutions

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Matillion

Microsoft Fabric

Power BI

Tableau

Azure/cloud-native

Job description

We are seeking a Senior Data Architect to design scalable, secure, and modern cloud-native data solutions. This role will partner with business and IT leadership to translate business needs into enterprise data architectures and technology roadmaps.

Key Responsibilities

• Design and architect end-to-end data platforms, including ingestion, ETL/ELT, storage, integration, analytics, and data consumption.
• Define scalable cloud, lakehouse, data warehouse, and data lake architectures.
• Establish standards for data integration, interoperability, governance, security, and data sharing.
• Design data solutions supporting AI/ML, Generative AI, MCP, and advanced analytics.
• Evaluate and recommend data technologies and platforms.
• Provide architecture governance, design reviews, POCs, and technology assessments.
• Partner with Enterprise Architecture, Data Engineering, Infrastructure, Application Development, vendors, and business teams.
• Identify architectural risks, dependencies, and trade-offs.
• Mentor architects and engineers and promote data architecture best practices.

Required Qualifications

• 10+ years of modern cloud data architecture experience.
• Bachelor's degree in Computer Science or related field.
• Strong experience with Snowflake, Matillion, Microsoft Fabric, Power BI, and Tableau.
• Proven experience with data warehouses, data lakes, lakehouse architectures, data integration, and analytics platforms.
• Strong Azure/cloud-native architecture experience; hybrid or multi-cloud experience is a plus.
• Knowledge of ETL/ELT, APIs, microservices, data governance, security, privacy, quality, and compliance.
• Experience translating business requirements into scalable data solutions.
• Strong stakeholder management and communication skills.
• Experience architecting data platforms for AI/ML and Generative AI use cases.