Azure Data Architect

Location : Greenfield, Indiana. Onsite from Day 1

Key Skills: (Databricks, Azure Data Lake, Python)

Mandatory Cloud/Data/Solution Architecture  addressing various patterns around Data management , security, deployment, costing, governance, modelling, observability, Finops, well architected frameworks etc

Job Title: Data Architect (Databricks, Azure Data Lake, Python)

Duration: Long term contract

Location: Greenfield, India (Onsite from day 1)

Any Bachelor's Degree good in Computer Science, Information Technology

We are seeking a highly skilled Data Engineering Specialist to join our team. The ideal candidate will have extensive experience in cloud technologies, DevOps development practices and Data Engineering to support and enhance our RDAP initiatives.
________________________________________
Key Responsibilities:
• Design, develop, and maintain Databricks Lakehouse solutions sourcing from  cloud platforms such as Azure Synapse and GCP.
• Implement and manage DevOps and CICD workflows using tools like GitHub.
• Apply best practices in test-driven development, code review, branching strategies, and deployment processes.
• Build, manage, and optimize Python packages using tools like setup, poetry, wheels, and artifact registries.
• Develop and optimize data pipelines and workflows in Databricks, utilizing PySpark and Databricks Asset Bundles.
• Manage and query SQL databases (Unity Catalog, SQL Server, Hive, Postgres).
• Implement orchestration solutions using Databricks Workflows, Airflow, and Dagster.
• Work with event-driven architectures using Kafka, Azure Event Hub, and Google+C4 Cloud Pub/Sub.
• Develop and maintain Change Data Capture (CDC) solutions using tools like Debezium.
• Extensive experience in design and implementation of data migration projects specifically involving Azure Synapse and Databricks Lakehouse
• Manage cloud storage solutions, including Azure Data Lake Storage and Google Cloud Storage.
• Configure and manage identity and access solutions using Azure Active Directory, including AD Groups, Service Principals, and Managed Identities.

MUST

Python package builds(setup,poetry, wheels,artifact registries)
Specific technologies
Databricks(PySpark,Databricks Asset Bundles)
Open File Formats (Delta/Parquet/Iceberg/etc…)
SQL Databases (Unity Catalog, SQL Server, Hive, Postgres)
Orchestration Tools(Databricks Workflows, Airflow, Dagster)
Azure Data Lake Storage
Azure Active Directory (AD groups, Service Principles,Managed Identities)

10-12 years

secondary

Kafka, Azure Event Hub, Cloud Pub/Sub

Change Data Capture (Debizum)          

Google Cloud Storage

Soft skills/other skills (If any)

Communication Skills:
Ability to convey complex technical concepts in a clear and concise manner to both technical and non-technical stakeholders.
Strong documentation skills for creating process guidelines, technical workflows, and reports.
Problem-Solving and Analytical Thinking:
Capability to troubleshoot and resolve issues efficiently.
Analytical mindset for optimizing workflows and improving system performance.
Lead Responsibilities
Effective in Customer interactions for understanding requirements, participating in design discussions and translating requirements into deliverables by working with the development team at Offshore
Effective in collaborating with cross-functional teams across development, operations, and business units.
Strong interpersonal skills to build and maintain productive relationships with team members.