You will bridge the gap between technical data solutions and business objectives by designing and maintaining a scalable data strategy.
Responsibilities
- Architect and implement data solutions including data warehouses, data lakes, and data marts.
- Design conceptual, logical, and physical data models to support descriptive and predictive analytics.
- Develop and test ETL/ELT pipelines to integrate data from on-prem, cloud, and SaaS sources.
- Maintain an enterprise-wide data catalog, automating metadata ingestion and establishing data dictionaries.
- Enforce data governance policies to ensure data quality, security, and compliance.
- Optimize BI systems and data pipelines for performance, reliability, and cost-effectiveness.
Required Skills
- 3+ years of experience in data architecture or engineering.
- Proven experience with ETL/ELT processes.
- Hands-on experience with Power BI, Tableau, or Crystal.
- Experience with AWS Redshift and RDS.
- Experience with Azure Data Lake Storage.
- Working knowledge of Hadoop, Spark, and Kafka.
- Ability to translate business requirements into technical specifications.
- Degree in any field of study.