Data Architect

results-driven Data Architect with expertise in designing, building, and managing scalable, secure, and high-performance data ecosystems. Skilled in defining enterprise data models, data integration patterns, data governance frameworks, and cloud-based data platforms. Experienced in translating business requirements into robust technical solutions that improve data quality, accessibility, and decision-making.

proven ability to design end-to-end data solutions that support analytics, reporting, AI/ML, and operational systems. Strong background in aligning data architecture with business strategy, reducing technical debt, and enabling self-service analytics across the enterprise.

• Design enterprise data architecture and target-state data platforms
• Create conceptual, logical, and physical data models
• Design scalable Data Warehouse and Data Lake solutions
• Build ETL/ELT architectures and integration frameworks
• Define data governance, metadata, and master data management standards
• Ensure data quality, lineage, security, and compliance
• Optimize data platform performance and scalability
• Collaborate with engineering, analytics, AI/ML, and business teams
• Support cloud migration initiatives
• Design enterprise reporting and analytics solutions

• SQL
• Python
• Apache Spark
• Snowflake
• Databricks
• Azure
• AWS
• Google Cloud Platform (GCP)
• Informatica
• Talend
• dbt
• Kafka
• Power BI
• Tableau
• Data Modeling
• ER Modeling
• Dimensional Modeling
• Star Schema
• Snowflake Schema
• Data Warehousing
• Data Lakes
• ETL / ELT
• Data Governance
• Master Data Management
• Data Security
• Artificial Intelligence
• DevOps

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field
• Strong experience in enterprise data architecture
• Expertise in cloud-based data platforms
• Experience designing scalable ETL/ELT pipelines
• Strong SQL and Python programming skills
• Excellent communication and stakeholder management sk