Data Architect

A 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.
Core strengths
Enterprise data architecture and modeling
Data warehousing and data lake design
ETL/ELT pipeline design
Cloud data platforms and migration
Data governance, metadata, and master data management
Performance tuning and scalability
Stakeholder collaboration and solution design
Data security, privacy, and compliance
Technical skills
SQL, Python, Spark, Snowflake, Databricks, Azure, AWS, GCP, Informatica, Talend, dbt, Kafka, Power BI, Tableau, ER modeling, dimensional modeling, star/snowflake schemas
Professional summary
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.
Typical responsibilities
Define target-state data architecture
Design conceptual, logical, and physical data models
Establish data standards and governance practices
Lead integration across source systems and downstream consumers
Ensure data quality, lineage, and security
Partner with engineering, analytics, and business teams