Description

Lead technical design and integration of data architectures for evolving business needs. Oversee implementation from concept to production-ready products.

Responsibilities

• Evaluate technologies and design patterns for data-centric solutions.
• Perform technical design and integration for Informatica EDC, Dataiku, Protegrity, Denodo, and Snowflake.
• Translate business requirements into actionable architectures for stakeholder teams.
• Drive processes for data governance, lineage, stewardship, quality, and machine learning.
• Lead teams in deploying data products and production-level AI/ML solutions.

Required Skills

• Minimum 10 years of experience in data-centric environments managing end-to-end data product lifecycles.
• 5-7 years architecting technical resolutions including Microservices and AI/ML platforms.
• Deep knowledge of Informatica Enterprise Data Catalog (EDC), Collibra, and Databricks Unity Catalog.
• Hands-on experience with Spark, Airflow, Synapse, and ELK for data management and pipelines.
• Proficiency with CI/CD tools: 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.

Preferred Skills

• Experience with Dataiku, Data Robot, R Studio, or the Databricks Lakehouse Platform.

Key Skills

Education

Any Graduate