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