Azure Databricks - Architect

Tiger Analytics; Hyderabad, Pune District, Bengaluru; Híbrido; INR 2.800.000 - 4.500.000; Jornada completa

Descripción de la vacante

Tiger Analytics is seeking a Databricks Architect & Senior Architect to lead advanced data engineering on Azure. You will design and build scalable data platforms, optimize Databricks workflows, and guide AI-powered data solutions for enterprise clients.

The role requires deep Databricks expertise, Python/SQL proficiency, and experience with modern data tooling. Collaboration across teams and delivery of high-impact analytics are core expectations.

Formación

• Hands-on experience building modern data platforms on Azure using Azure Databricks and related services.
• Deep expertise in the Databricks ecosystem: PySpark, Notebooks, Unity Catalog, Delta Live Tables, Workflows, SQL Warehouse.
• Strong programming, debugging, and performance tuning skills in Python and SQL.
• Experience with AI-assisted engineering tools and prompt engineering concepts.
• Familiarity with CI/CD processes using Git and Azure DevOps or Jenkins.
• Exposure to big data platforms like Cloudera (CDH) or Hortonworks (HDP) is a plus.

Conocimientos

Azure Databricks

PySpark

Python

SQL

AI-assisted engineering

Prompt engineering

Data modeling

GenAI applications

CI/CD workflows

Notebooks

Educación

Bachelor's degree in CS/IT

Herramientas

Azure Data Factory

ADLS Gen2

Cosmos DB

Azure Purview

Event Hub

Stream Analytics

Log Analytics

Azure Data Explorer

Microsoft Fabric

SQL Database

Descripción del empleo

Databricks Architect & Senior Architect

JOB DESCRIPTION

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack

AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to

push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose

is to provide certainty to shape a better tomorrow. Our team of 7000+ technologists and consultants are based in the US, Canada, the

UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences,

and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and

excellence. We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest,

ISG and others. We have been ranked among the Best and 'Fastest Growing' analytics firms lists by Inc., Financial Times, Economic

Times and Analytics India Magazine. Curious about the role? What your typical day would look like?

EXPERTISE AND QUALIFICATIONS

• Hands-on experience building modern data platforms on Azure using tools and services such as: Azure Databricks, Azure Data Factory, ADLS Gen2, SQL Database, Microsoft Fabric, Event Hub, Stream Analytics, Cosmos DB, Azure Purview, Log Analytics, and Azure Data Explorer.
• Deep expertise in the Databricks ecosystem, including: PySpark, Notebooks, Unity Catalog, Delta Live Tables, Workflows, SQL Warehouse, Mosaic AI, AI/BI Genie.
• Experience of designing and developing metadata-driven frameworks (relevant for Data Engineering processes).
• Strong programming, debugging, and performance tuning skills in Python and SQL.
• Experience with Agentic AI-assisted engineering using tools like Claude Code, Gemini Code, Codex, Copilot, etc., including effective use of Claude Skills, CLAUDE.md / AGENTS.md, MCP tools, hooks and repo-level coding workflows.
• Ability to design, guide, and review AI-generated code responsibly, including prompt/task decomposition, context engineering, tool configuration, guardrails, testing, debugging, and production-quality code validation.
• Good Experience of Data modeling (both Dimensional and 3-NF)
• Good Exposure to developing LLM/GenAI-powered applications.
• Sound understanding of CI/CD processes using Git and Jenkins or Azure DevOps.
• Familiarity with big data platforms such as Cloudera (CDH) or Hortonworks (HDP) is a plus.
• Exposure to technologies like Neo4j, Elasticsearch, and vector databases is desirable.
• Bonus: Experience with Azure infrastructure provisioning, networking, security, and governance.

Educational Background:

Bachelor's degree (B.E/B.Tech) in Computer Science, Information Technology, or a related field from a

reputed institute (preferred).

We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage

people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry