Data Architect Lead

About the role

Own the end‑to‑end data architecture strategy, leading the design of scalable, secure and high‑performing data platforms. Act as the technical authority on data modeling, integration, governance and infrastructure while guiding cross‑functional stakeholders.

Key responsibilities

• Define and own the enterprise data architecture strategy, standards and roadmap aligned with business objectives.
• Design scalable data models (conceptual, logical, physical) for OLTP, OLAP and lakehouse environments.
• Architect data pipelines, ETL/ELT processes and integration patterns across source systems, data warehouses and downstream applications.
• Lead and mentor a team of data architects, engineers and analysts, reviewing and approving designs.
• Set technical direction on data security, privacy, compliance (e.g., GDPR) and drive best‑practice adoption.

Required profile

• 8‑10 years of experience in data architecture or engineering, with 3‑5 years in a lead/architect capacity.
• Strong stakeholder management and ability to translate business needs into technical solutions.
• 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).
• Data warehousing, data lakes/lakehouses, data governance, MDM, data quality, metadata management.
• API‑based and event‑driven integration (Kafka, REST, OIC).
• Programming for data engineering (Python, Scala).