Data Engineering Architect
Core
Design and implement scalable enterprise data warehouses and data integration frameworks to support analytics and business intelligence.
Role type
Data Engineering Architect (Manager level)
Builds
Enterprise data warehouses (EDW), data marts, and ETL/ELT pipelines
Domain
Data Engineering / Data Warehousing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Informatica IICS, dimensional modeling, SQL, data governance, data quality frameworks, CI/CD automation, cloud platforms (AWS/Azure/GCP), ETL/ELT pipeline architecture
Preferred skills
Snowflake/Redshift/BigQuery/Databricks, Python/Spark, Data Vault modeling, IICS Data Quality (IDQ), BI tools (Power BI/Tableau/Looker)
Technologies
Informatica IICS, Snowflake, Redshift, BigQuery, Databricks, AWS, Azure, GCP, Python, Spark, Power BI, Tableau, Looker
Responsibilities
Define end-to-end data architecture including EDW and data marts; Lead data modeling initiatives using dimensional techniques; Architect and govern ETL/ELT pipelines; Establish standards for data modeling and metadata management; Define data quality frameworks and validation strategies; Work with stakeholders to translate reporting needs into data models; Oversee implementation and performance tuning of warehouse solutions; Drive CI/CD and automation practices
Seniority
Manager, hands-on IC with strategic oversight
