Back
Metro location and popular Data Engineer title increase competition, but niche MDM requirements moderate applicant density.
Strong MDM and master-data specialization increases domain specificity, reducing cross-industry interchangeability.
Explicit 6–10 years plus mandatory Informatica MDM, Databricks and data modeling skills create strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own and develop the enterprise Master Data Management (MDM) data model and govern data modeling standards and quality practices.
Design and implement scalable, reliable data pipelines for machine learning using Databricks technologies such as Apache Spark, Delta Lake, and MLflow.
Lead MDM deployment lifecycle, provide technical leadership in MDM architecture and data modeling, and collaborate across teams for integration and compliance.
6-10 years of hands-on experience in Data Management/Development with at least 5 years in data modeling using CA Erwin or Embarcadero ER Studio.
Bachelor's degree in Engineering, Computer/Data Science or equivalent experience.
Technical experience in MDM solutions (minimum 2 years), data warehousing (5 years), Agile methodologies, and programming languages including Python, Scala, and SQL.
Working experience with cloud platforms (AWS, Azure, or GCP), Databricks or similar for machine learning, and mandatory technologies including Informatica MDM and Oracle.
Experienced technical lead with 2 years of leadership in MDM and data architecture roles.
Proven ability to manage complex enterprise data modeling standards, quality governance, and scalable machine learning pipelines.
Deep understanding of MDM, data quality, relational and dimensional databases, and cloud-based DevOps environments.