Senior Azure Data Architect

ZipRecruiter; Dallas (TX); Remote; USD 100,000 - 160,000; Full time

Job summary

An established industry player is seeking a Senior Azure Data Architect to lead the design and implementation of innovative data solutions. This role involves architecting end-to-end data systems using Azure DataLake, Databricks, and PySpark, ensuring seamless migration processes and providing mentorship to team members. The ideal candidate will have a deep understanding of data warehousing and big data processing, along with excellent communication skills to collaborate across functions. Join this dynamic team and help shape the future data landscape in alignment with business objectives and technology trends!

Qualifications

• 10+ years in data engineering or architecture roles required.
• Strong hands-on experience with Azure DataLake and Databricks.

Responsibilities

• Architect and implement end-to-end data solutions using Azure technologies.
• Design scalable and secure cloud-data systems aligned with business goals.

Skills

Data Engineering

Azure DataLake

PySpark

Databricks

Data Warehousing

ETL Migration

Communication Skills

Collaboration Skills

Job description

Job Description

Title: Senior Azure Data Architect

Location: Remote (EST)
Duration: 6+ months
Implementation Partner: Infosys
End Client: To be disclosed

Key Responsibilities:

• Architect and implement end-to-end data solutions using Azure DataLake, Databricks, and PySpark.
• Collaborate closely with engineering teams to ensure smooth and efficient migration.
• Design scalable and secure cloud-data systems, with a strong foundation in data warehousing concepts.
• Provide hands-on support and mentorship - help unblock team members, review code, and troubleshoot data pipelines.
• Envision and articulate the future data landscape in line with business goals and technology trends.
• Work across functions to ensure architectural alignment and long-term sustainability of the data platform.

Must-Have Skills:

• 10+ years in data engineering or architecture roles.
• Strong hands-on experience with Azure DataLake, PySpark, and Databricks.
• In-depth understanding of data warehousing, big data processing, and migration best practices.
• Experience in migrating ETL processes from Informatica to Azure.
• Ability to design solutions while being actively involved in implementation.
• Excellent communication and collaboration skills.