Databricks Architect

Position: Data Architect (Databricks)

Location: Pune (Hybrid)

Role Overview

We are looking for an experienced Data Architect – Databricks Champion recognition to provide architecture and technical leadership for enterprise-scale data platforms built on Azure Databricks and Lakehouse architecture. Need to have.

The candidate should combine strong architectural expertise with hands-on data engineering experience and be capable of translating complex business requirements into scalable, secure, governed and high-performance data solutions. The role will work closely with Data Architects, Data Engineers, Analytics teams and business stakeholders while mentoring engineering teams and establishing Databricks architecture and development best practices.

Key Responsibilities

• Architect and lead enterprise-scale Azure Databricks Lakehouse solutions.
• Design scalable Bronze, Silver and Gold architectures for ingestion, transformation, integration and data consumption.
• Lead complex ETL/ELT, data migration and modernization initiatives across multiple source systems and business domains.
• Define reusable architecture patterns, engineering standards and frameworks using Databricks, Spark, PySpark, SQL and Delta Lake.
• Design and review analytical and dimensional data models, including Fact/Dimension and Star Schema models.
• Drive performance optimization of Spark workloads, SQL queries and data pipelines.
• Establish standards for data quality, governance, metadata, lineage, security, monitoring and access management.
• Define engineering practices around Git, CI/CD, automated deployment and code quality.
• Conduct architecture/design reviews and provide hands-on technical guidance to Data Engineers.
• Mentor engineering teams and collaborate with senior business and technical stakeholders on solution design, technical dependencies and risks.

Technical Skills & Certifications - Essential Skills

• 10–15 years of experience in Data Engineering/Data Architecture.
• Strong hands-on expertise in Azure Databricks and Lakehouse architecture.
• Advanced skills in Apache Spark, PySpark, Python, SQL and Delta Lake.
• Strong understanding of Bronze/Silver/Gold architecture and enterprise ETL/ELT patterns.
• Experience with batch/incremental processing, schema evolution and large-scale data pipelines.
• Experience with AI/ML, Generative AI, and Databricks Mosaic AI.
• Strong knowledge of dimensional modelling, Fact/Dimension modelling and Star Schema.
• Experience with data governance, data quality, metadata, lineage, security and access management.
• Strong working knowledge of Git, CI/CD and DevOps practices.
• Experience in data-platform modernization and migration.
• Strong architecture, problem-solving, stakeholder-management and technical-leadership skills.

Certifications / Databricks Recognition

• Databricks Champion recognition
• Databricks Certified Data Engineer Professional.
• Databricks AI certifications.
• Azure Platform Architect accreditation or equivalent Databricks architecture credentials would be an advantage.
• Demonstrated experience architecting and delivering enterprise-grade Databricks solutions is essential.

If qualified & interested, please send your resume to [Confidential Information] along with the following details.

Details Needed:

• Total yrs of exp -
• Yrs of exp in Data Engineering / Data Architecture -
• Yrs of exp in Azure Databricks and Lakehouse architecture -
• Yrs of exp in Apache Spark, PySpark, Python, SQL and Delta Lake -
• Yrs of exp in Bronze/Silver/Gold architecture and enterprise ETL/ELT patterns -
• Yrs of exp in AI/ML, Generative AI, and Databricks Mosaic AI -
• Yrs of exp in dimensional modelling, Fact/Dimension modelling and Star Schema -
• Yrs of exp in Git, CI/CD and DevOps practices -
• Are you certified Databricks Champion recognition ( Yes / No) -
• Are you certified Databricks Certified Data Engineer Professional ( Yes / No) -
• Current Location -
• This position is in Pune. If not local, are you willing to relocate(Yes / No) -
• This is a hybrid position ( 3 days to office & 2 days WFH) - Are you okay with it ( Yes / No) -
• Have you been interviewed by us before If Yes, let us know when.
• Current Company -
• Current Designation -
• Current Salary ( Fixed + Variable) -
• Expected salary ( Fixed + variable) –
• Do you have PF from your current company( Yes / No) -
• Notice period ( Is buyout option available)- ( Yes/ No) -
• Are you available to join immediately ( Yes / No)-
• Are you willing to take a virtual interview on a day's notice (Yes / No) -
• Best Email to reach out to -
• Best Phone number to reach you –