Data Architect

Key Responsibilities:

• Design and implement enterprise-level data architecture solutions aligned with business goals and IT strategy.
• Lead the development of logical and physical data models across transactional and analytical systems.
• Define data architecture standards, best practices, and governance frameworks.
• Collaborate with data engineering, BI, application development, and product teams to design scalable data pipelines and integrations.
• Architect modern cloud data platforms (eg, AWS, Azure, GCP) and data lakes/warehouses (eg, Snowflake, Redshift, BigQuery).
• Define and maintain metadata, data lineage, and data quality standards.
• Evaluate and recommend new data technologies, tools, and platforms.
• Ensure compliance with data privacy regulations and internal security standards.
• Mentor junior architects and data engineers and participate in architectural reviews.

Required Qualifications:

• bachelors or masters degree in Computer Science, Information Systems, or related field.
• 10-15 years of progressive experience in data architecture, data engineering, or database development.
• Proven experience designing data platforms in cloud environments (AWS, Azure, GCP).
• Deep understanding of relational and NoSQL databases (eg, SQL Server, PostgreSQL, MongoDB, Cassandra).
• Expertise in data modeling tools (eg, ER/Studio, Erwin, dbt).
• Hands-on experience with ETL/ELT tools and frameworks (eg, Apache Airflow, Talend, Informatica).
• Strong understanding of data governance, data quality, and data security principles.
• Excellent problem-solving skills, communication, and stakeholder management capabilities.