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