DATA ARCHITECT
Key Responsibilities
Architectural Strategy & Design
Define the enterprise data architecture roadmap across data domains (operational, analytical, metadata, master, reference, unstructured). Design scalable, cloud-native data architecture aligned with business needs and digital transformation goals.
Select appropriate data storage technologies (e.g., Delta Lake, Data Lakehouse, SQL/NoSQL stores) based on use case. Data Platform Leadership
Lead the architecture for ingestion, transformation, storage, and consumption across batch and real-time data pipelines.
Define standards and frameworks for metadata, data lineage, data quality, and cataloging.
Architect for interoperability across BI, AI/ML, and regulatory reporting workloads.
Governance & Security
Enforce data governance, privacy, and compliance standards in collaboration with the data governance team.
Implement security policies including data masking, encryption, access control, and audit logging Preferred Technical Expertise
Deep hands-on expertise in
Azure Data Services (Data Lake Gen2, Azure Synapse, Data Factory, Databricks)
Modern data lakehouse architectures (Delta Lake, Iceberg)
Big Data tools (Spark, Kafka, Hive)
Strong knowledge of data modeling (3NF, dimensional, data vault)
Familiarity with data cataloging and governance tools (Azure Purview, Collibra)
Proficiency in orchestration tools and schedulers (Airflow, Azure Data Factory pipelines Understanding of streaming pipelines using Kafka, Event Hub, or Databricks Structured Streaming
Knowledge of REST APIs, GraphQL, and data virtualization is a plus
Exposure to MLOps, feature stores, and AI data lifecycle is an advantage
Soft Skills
Strategic mindset with the ability to abstract complex technical ideas for executive stakeholders.
Strong documentation, communication, and cross functional leadership skills.
Ability to mentor engineering teams and influence architectural decisions in a federated data environment.
DATA ARCHITECT
Key Responsibilities
Architectural Strategy & Design
Define the enterprise data architecture roadmap across data domains (operational, analytical, metadata, master, reference, unstructured). Design scalable, cloud-native data architecture aligned with business needs and digital transformation goals.
Select appropriate data storage technologies (e.g., Delta Lake, Data Lakehouse, SQL/NoSQL stores) based on use case. Data Platform Leadership
Lead the architecture for ingestion, transformation, storage, and consumption across batch and real-time data pipelines.
Define standards and frameworks for metadata, data lineage, data quality, and cataloging.
Architect for interoperability across BI, AI/ML, and regulatory reporting workloads.
Governance & Security
Enforce data governance, privacy, and compliance standards in collaboration with the data governance team.
Implement security policies including data masking, encryption, access control, and audit logging Preferred Technical Expertise
Deep hands-on expertise in
Azure Data Services (Data Lake Gen2, Azure Synapse, Data Factory, Databricks)
Modern data lakehouse architectures (Delta Lake, Iceberg)
Big Data tools (Spark, Kafka, Hive)
Strong knowledge of data modeling (3NF, dimensional, data vault)
Familiarity with data cataloging and governance tools (Azure Purview, Collibra)
Proficiency in orchestration tools and schedulers (Airflow, Azure Data Factory pipelines Understanding of streaming pipelines using Kafka, Event Hub, or Databricks Structured Streaming
Knowledge of REST APIs, GraphQL, and data virtualization is a plus
Exposure to MLOps, feature stores, and AI data lifecycle is an advantage
Soft Skills
Strategic mindset with the ability to abstract complex technical ideas for executive stakeholders.
Strong documentation, communication, and cross functional leadership skills.
Ability to mentor engineering teams and influence architectural decisions in a federated data environment.
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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