Description

You will lead technical design and integration of data architectures to support evolving business needs. You will oversee implementation from concept to working product, acting as a technical liaison between stakeholders and developer teams. You will drive processes for data governance, lineage, and quality while deploying data products and production-level AI/ML solutions.

Responsibilities

• Perform technical design and integration for Informatica EDC, Dataiku, Protegrity, Denodo, and Snowflake.
• Translate business requirements into architectural blueprints and technical resolutions.
• Lead technical teams in deploying data products and production-level AI/ML solutions.
• Drive processes for data governance, lineage, and data quality.

Required Skills

• 10+ years of experience in data-centric environments managing the end-to-end data product lifecycle.
• 5-7 years of experience architecting technical resolutions including Microservices and AI/ML platforms.
• Expertise in Dataiku, Data Robot, R Studio, or Databricks Lakehouse Platform.
• Hands-on experience with data management and pipelines using Spark, Airflow, Synapse, or ELK.
• Proficiency with CI/CD tools including Jenkins, Ansible, and Terraform.
• Experience with API Management tools such as Apigee or Kong.
• Strong understanding of Azure, Databricks, and Data Warehouse concepts.
• Practical experience with ServiceNow and Agile methodologies.
• Deep knowledge of Informatica Enterprise Data Catalog (EDC) and Data Management products like Collibra or Databricks Unity Catalog.

Preferred Skills

• Ability to guide product direction and features through collaboration with product leadership.

Key Skills

Education

Any Graduate