What are the responsibilities and job description for the Senior Data Architect position at Tranzeal Incorporated?
Senior Data Architect
Job Summary
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.