Data Architecture Design

Define and design enterprise-wide data architecture, including data models, data flows, and integration frameworks across multiple systems and domains. Cloud Data Platform Leadership

Architect modern data platforms using cloud technologies such as AWS, Azure, or GCP, leveraging services like Snowflake, Redshift, Databricks, or Synapse. Data Modeling

Develop conceptual, logical, and physical data models for operational and analytical systems, ensuring consistency, scalability, and reusability. Data Integration

Design and oversee data ingestion, transformation, and orchestration processes using tools such as Informatica, Talend, ADF, DBT, Airflow, or Glue. Data Governance

Establish data governance frameworks, metadata management, and data quality standards to ensure data reliability and compliance. Collaboration & Stakeholder Management

Work closely with business leaders, data engineers, and analysts to translate business needs into scalable data solutions. Performance & Optimization

Ensure high performance and cost efficiency of data systems through optimization of data storage, partitioning, indexing, and query performance. Security & Compliance

Define data security, privacy,



and compliance standards aligned with organizational and regulatory requirements (e.g., GDPR, HIPAA). Technology Evaluation

Stay up to date with emerging data technologies, frameworks, and best practices; recommend tools and architectural improvements. Mentorship

Guide and mentor data engineers, modelers, and analysts in implementing architectural standards and best practices. Required Skills & Qualifications Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Experience

10–15 years in data management, including 5+ years in data architecture roles. Technical Expertise

Deep understanding of data modeling (OLTP, OLAP, dimensional, and data vault). Strong experience in SQL, Python, or Scala for data manipulation and design. Expertise in one or more cloud data platforms

Snowflake, Azure Synapse, AWS Redshift, Databricks, or Google BigQuery. Experience with ETL/ELT tools

Informatica, Talend, ADF, DBT, Glue, Airflow, etc. Familiarity with data governance tools (e.g., Collibra, Alation, Informatica EDC).Robust understanding of data lake, data warehouse, and data mesh concepts. Knowledge of API-based integration, streaming data (Kafka, Kinesis), and real-time analytics.

📌 Architect (ATC) (Chennai)
🏢 Virtusa
📍 Chennai