Back
Metro location, generic Data Engineer title, and hybrid flexibility increase competition despite niche MDM specialization.
Role's specialized MDM, Informatica, and master-data modeling focus reduces transferability across industries.
Explicit years plus multiple mandatory MDM, Databricks, and tooling requirements make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Owns and develops the enterprise Master Data Management (MDM) data model, ensuring alignment with technical architecture and delivery requirements.
Leads MDM deployment lifecycle and provides technical leadership and governance for MDM/data quality best practices and standards.
Designs and implements scalable data pipelines for machine learning using Apache Spark, Delta Lake, MLflow, and Databricks services.
6-10 years of hands-on experience in Data Management/Development.
5 years of data modeling experience using CA Erwin or Embarcadero ER Studio.
2 years of working experience with an MDM solution and 5 years in data warehousing.
Mandatory skills include Informatica MDM, Informatica IDQ Developer/Analyst, Oracle, Unix/Linux scripting, SQL, Python, Scala, experience with cloud platforms (AWS, Azure, or GCP), and Databricks or similar platforms for machine learning.
Experienced technical lead with at least 2 years leading MDM modelers and data modeling efforts in enterprise settings.
Strong background in data architecture, data governance, and hands-on experience with data warehousing and machine learning data pipelines.
Comfortable collaborating cross-functionally with security, integration, and database teams and advancing MDM frameworks including emerging technologies.