Data Architect (Managed Services)
Core
Design and implement end-to-end enterprise data architecture, including data warehousing, ETL/ELT pipelines, and BI dashboards for complex industries like finance and manufacturing.
Role type
Senior IC Data Architect
Builds
Enterprise data warehouses, ETL/ELT pipelines, BI dashboards, and data governance frameworks
Domain
Data Engineering & Analytics
Required skills
SQL, Python, Dimensional Modeling (Kimball/Inmon/Data Vault), ETL/ELT tools (Spark/Flink/Hive), Workflow Orchestration (Airflow), Data Governance, BI Tools (Tableau/Power BI), Big Data Ecosystem (Hadoop/Kafka)
Preferred skills
Master Data Management (MDM), Data Mesh/Fabric patterns, Data versioning, Energy Trading domain knowledge
Technologies
Apache Spark, Apache Flink, Hive, ClickHouse, Apache Doris, StarRocks, Greenplum, Vertica, Snowflake, Apache Airflow, Tableau, Power BI, Apache Superset, Kafka, Hadoop
Responsibilities
Design enterprise data collection strategies and integration frameworks; Lead EDW construction using dimensional modeling; Develop scalable ETL/ELT pipelines and orchestration workflows; Build enterprise BI reporting systems and executive dashboards; Establish data governance frameworks including catalogs, lineage tracking, and security audit systems
Seniority
Senior, hands-on IC
