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Databricks Architect
Service based company
Codemind Staffing Solutions's logo

Databricks Architect

at Service based company

10 - 15 yrs
₹25L - ₹32L / yr
Chennai
Skills
databricks
azure databricks
Apache Spark
PySpark
datalake

Key Responsibilities

Architect and implement enterprise-grade Lakehouse solutions using Databricks

Design and deliver scalable batch and real-time data pipelines using Apache Spark (PySpark/SQL)

Build ETL/ELT pipelines, incremental data loads, and metadata-driven ingestion frameworks

Implement and optimize Databricks components: Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, and Workflows

Design large-scale data warehousing solutions with 3NF and dimensional modeling

Establish data governance, security, and data quality frameworks, including Unity Catalog

Lead ML lifecycle management using MLflow and drive AI use cases (RAG, AI/BI)

Manage cloud-native deployments on Microsoft Azure and integrate with enterprise systems (e.g., ServiceNow)

Drive CI/CD, DevOps practices, and performance optimization of Spark workloads

Provide technical leadership, mentor teams, and ensure successful delivery

Collaborate with stakeholders to translate business requirements into scalable solutions

Required Skills & Experience

10+ years in Data Engineering / Analytics / AI with strong delivery ownership

Deep expertise in Databricks ecosystem (Notebooks, Delta Lake, Workflows, AI/BI, Apps, Genie)

Strong hands-on experience with: 

Apache Spark (performance tuning & scalability)

Python and SQL

Proven experience in: 

Solution architecture and large-scale data platforms

Data warehousing and advanced data modeling

Batch and real-time processing systems

Experience with: 

Azure Databricks and Azure data services

ML flow and MLOps practices

ServiceNow or enterprise integrations

Exposure to AI technologies (RAG, LLM-based solutions)

Strong stakeholder management and leadership skills

Certifications (Preferred)

Databricks certifications aligned to data engineering and AI tracks, such as: 

Databricks Certified Data Engineer Associate (validates foundational ETL, Spark, and Lakehouse capabilities)

Databricks Certified Data Engineer Professional (advanced expertise in pipeline design, optimization, and governance)

Certifications in Databricks Machine Learning or Generative AI tracks (e.g., ML Associate / Professional) for AI-driven use cases

Relevant cloud certifications in Microsoft Azure or Amazon Web Services for platform deployment and architecture


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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