Data Architect

Greetings!

This is Rakesh from MSRCOSMOS LLC .

We are one of the leading staffing agency in North America. I am reaching out to check your availability for the below role. Please review the job description and let me know if you are interested to submit your resume. You can share your resume to rakesh.reddy@msrcosmos.com

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

Duration : Long term contract

Location : Greenfield, India (Onsite from day 1)

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

Hiring Manager

Educational Qualification

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

Job Description

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.

Primary (Must have skills)

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)

Expierence Range

10-12 years

Secondary Skills (Good To have)

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.