Principal Architect - Databricks

Title : Principal Architect – Databricks Location : Chennai, Bengaluru, Hyderabad Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack 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 5000+ 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™ ), 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. Role Overview: As a Principal Data Architect, you will be responsible for solutioning & designing data engineering use cases using BigData technologies on Databricks across multiple clients You will be leading multiple data engineering teams across multiple clients You will be responsible for technical solutions for RFP's & proposals You can contribute towards Tiger Data Engineering practice growth You can contribute towards solutioning & building accelerators, defining frameworks, writing technical blogs etc What do we expect? Should have minimum 14+ years of experience in data engineering Must have hands – on experience with: Python, PySpark & SQL Should have hands-on experience with Databricks - Databricks Workspaces, Delta Lake, Databricks SQL, Workflows, Unity Catalog Should have good understanding of Lakehouse Architecture Should have good hands-on Cloud experience: AWS or GCP or Azure Should have good knowledge Cloud Storage layers Should have good knowledge on implementing Data Quality Should have handled multiple data engineering teams or modules for client(s) Should have excellent solutioning skills for data engineering use cases Should have worked on RFP's & proposals Good understanding on BigData Engineering concepts and architecture Good understanding on Data pipelines, orchestration, data warehouse concepts Good to have: Experience with Databricks, Snowflake Working with NoSQL databases Agentic AI concepts understanding and experience Good oral and written communication skills Excellent stake holder management skills Excellent delivery management skills - Should have owned fixed bid projects and delivered end to end Educational Background: Bachelor’s degree (B.E/B.Tech) in Computer Science, Information Technology, or a related field from a reputed institute (preferred). You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. 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. Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.

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