About the role

Please share 2 strong profiles only - 1 for Banalore and 1 for Chennai

Please find the JD below. We are hiring for one of our client. Kindly check with the candidates if they have previously attended an interview with Emphasis.

Experience: 6–7 years (must have minimum experience in Azure Databricks)
Budget: Please share profiles along with the expected budget, open ended

Contract duration: 3-6 months+

Process:
- Share candidate profiles (including contact details). We will not reach out to them without your consent.
- 3–4 rounds with the end client
- 1 Goavega briefing round

Total Position : 10

Job Summary:

We are seeking a highly skilled Technical Architect with a strong focus on Databricks to design and implement scalable data platforms and pipelines. The ideal candidate will lead the migration from legacy systems to a modern Lakehouse architecture, ensuring data governance, quality, and security while collaborating with various stakeholders to align technical solutions with business objectives.

Years of Experience : 8 - 10 yrs

Core Responsibilities:

Design and implement scalable data platforms and pipelines using Azure Databricks, Apache Spark, Delta Lake, and MLflow.
Lead the migration from legacy platforms to Lakehouse architecture.
Develop batch and streaming data pipelines for ingestion, transformation, and analytics.
Establish standards for data governance, quality, and security.
Collaborate with stakeholders to align architecture with business goals.
Mentor data engineers and developers on Databricks best practices.
Integrate Databricks with tools like Power BI, Tableau, Kafka, Snowflake, and Azure Data Factory.

Mandatory Skills:

Strong command of Databricks and Azure.
Proficiency in SQL, Python, Scala, and Spark.
Experience with CI/CD pipelines, DevOps, and orchestration tools like Airflow or Data Factory.
Familiarity with Azure cloud platforms.
Deep understanding of distributed computing, performance tuning, and data security.

Preferred Skills:

Experience with data mesh, data fabric, or enterprise data architectures.
Strong ERP knowledge (e.g., SAP, Salesforce).
Hands-on capability and self-exploration skills to drive analytics adoption across business teams.

Qualifications:

Bachelor’s or Master’s in Computer Science, Data Science, or a related field.
Certifications such as Azure Solution Architect, Azure Data Engineer, or Databricks Certified Data Engineer or Solutions Architect.
Domain knowledge in finance, healthcare, or public sector is a plus.