Lead Consultant | Cloud Integration | Azure Data Factory (ADF)

POC: Sam Chavez

ATTENTION ALL SUPPLIERS!!!

READ BEFORE SUBMITTING:
UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
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MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.

Job Title: Lead Consultant | Cloud Integration | Azure Data Factory (ADF) -- Senior Cloud DBA
Work Location & Reporting Address: Minnesota City, MN 55959 (Onsite-Hybrid. Will consider candidates willing to relocate to client s location)
Contract duration: 6
MAX VENDOR RATE: ####9 per hour max
Target Start Date: 11 Aug 2026
Does this position require Visa independent candidates only? Yes

Must Have Skills:
Databricks ADF Postgre SQL, Airflow, Kafka, CICD, DevOps, Infrastructure as Code
Cloud database platforms such as O Azure Database for PostgreSQL O AWS RDS PostgreSQL O Google Cloud SQL
Azure Data Factory (ADF), Databricks Workflows, and Apache Airflow. Kafka, Event Streaming, and RealTime Data Processing. CICD, DevOps, Infrastructure as Code

Nice to Have Skills:
Databricks Lakehouse Architecture and Medallion Framework
AWS RDS PostgreSQL Google Cloud SQL

Detailed Job Description:
Senior Cloud DBA with expertise in PostgreSQL, Databricks Lakehouse, and database modernization
Databricks Lakehouse Architecture and Medallion Framework.
Azure Data Factory ADF, Databricks Workflows, and Apache Airflow.
Kafka, Event Streaming, and RealTime Data Processing.
CICD, DevOps, Infrastructure as Code.
Cloud database platforms such as Azure Database for PostgreSQL, AWS RDS PostgreSQL and Google Cloud SQL

Minimum Years of Experience:
8 to 10+ years

Certifications Needed:
Any certification is preferred but no required

Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Databricks Lakehouse Architecture and Medallion Framework.
Azure Data Factory ADF, Databricks Workflows, and Apache Airflow.
Kafka, Event Streaming, and RealTime Data Processing.

Interview Process (Is face to face required?)
Virtual and face-to-face

Any additional information you would like to share about the project specs/nature of work:

Project Code: UHG Optum Advisory Hyderabad STP