Data Architect - Enterprise Data Architecture

Job description

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