Senior Data Architect - Data Mesh & Lakehouse

Wipro Technologies; Tampa (FL); On-site; USD 80,000 - 158,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Disability insurance

Paid time off

Job summary

Wipro Limited is seeking a senior Data Architect to design cross-system data solutions and lead enterprise data strategy. The role focuses on Data Mesh, governance, and data product leadership across cloud platforms.

You will collaborate with data engineering, governance, and cloud teams to build scalable analytics and GenAI-ready data landscapes. Location options include Irving, TX or Tampa, FL with on-site collaboration.

Qualifications

• 12+ years in Data Architecture, Data Engineering, or Enterprise Architecture.
• Data as a Product Operating Models.
• Federated Data Governance.
• Self-Service Data Platforms.
• Hands-on experience with cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, AWS Data Services.

Responsibilities

• Define and drive enterprise-wide Data Mesh strategy, architecture, and operating model.
• Establish domain-oriented data ownership and federated governance frameworks.
• Lead the design, lifecycle management, and adoption of Data Products.
• Define standards for data contracts, interoperability, metadata, lineage, quality, observability, and discoverability.
• Enable self-service data consumption and product-driven data delivery across business domains.
• Design scalable cloud-native Data Lake/Lakehouse platforms supporting structured, semi-structured, and unstructured data.

Skills

Data mesh

Federated governance

Self-service data

Data platforms

DataOps

CI/CD

Metadata management

Lineage

Data quality

Databricks

Snowflake

Microsoft Fabric

AWS Data Services

Tools

Databricks

Snowflake

Microsoft Fabric

AWS Data Services

Job description

Wipro Limited is seeking a senior Data Architect to design cross-system data solutions and lead enterprise data strategy. The role focuses on Data Mesh, governance, and data product leadership across cloud platforms.

You will collaborate with data engineering, governance, and cloud teams to build scalable analytics and GenAI-ready data landscapes. Location options include Irving, TX or Tampa, FL with on-site collaboration.