Data Architect Lead

About the role

The Data Architect Lead will own the end‑to‑end data architecture strategy, designing scalable, secure, high‑performing data platforms and guiding cross‑functional teams on data‑driven initiatives.

Key responsibilities

• Define and maintain the enterprise data architecture strategy, standards and roadmap aligned with business goals.
• Design scalable data models and pipelines across OLTP, OLAP, data lake/ lakehouse environments and select appropriate platforms and tools.
• Lead, mentor and review work of data architects, engineers and analysts, ensuring best practices in security, governance and compliance.
• Collaborate with business, BI, data science and application teams to translate requirements into architecture solutions and oversee data migrations and integrations.

Required profile

• 8‑10 years of experience in data architecture or engineering, with 3‑5 years in a lead/architect role.
• Strong stakeholder management and ability to translate business needs into technical designs.
• Proven experience leading and mentoring technical teams.

Required skills

• Data modeling (dimensional, star/snowflake, normalized/denormalized).
• Major cloud data platforms: AWS Redshift/Glue, Azure Synapse/Data Factory, GCP BigQuery/Dataflow, Snowflake, Databricks.
• SQL and ETL/ELT tools: Informatica, Talend, dbt, Azure Data Factory.
• Event‑driven and API integration: Kafka, REST, OIC.
• BI/reporting tools: Power BI, Tableau, OBIEE, Looker.
• Programming for data engineering: Python, Scala.