Job Description
• Define enterprise data architecture across OLTP, OLAP, data lake, and lakehouse platforms (Snowflake/Databricks/BigQuery).
• Design scalable ingestion frameworks using Kafka, CDC, and batch pipelines (Airflow, Spark).
• Create canonical data models (3NF, dimensional, Data Vault 2.0).
• Implement data governance using tools like Collibra, Apache Atlas, or Purview.
• Architect real-time and streaming data solutions using Kafka/Flink.
• Design secure data platforms with IAM, encryption, and masking strategies.
• Lead cloud data architecture (AWS Glue, Redshift, S3 / Azure Data Factory, Synapse).
• Define data quality frameworks using Great Expectations/Deequ.
• Optimize large-scale data processing (Spark tuning, partitioning, indexing).
• Drive enterprise-wide data strategy and architecture governance boards.
💡 Quick Summary
Seeking a career-building opportunity? The Data Solution & Enterprise Architect position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Phoenix offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
