Job Description
Job Description
Role: Databricks & GCP Data Platform Architect (Hands-on)
Role Purpose
We are looking for a hands-on Databricks & GCP Data Platform Architect who will design and personally implement scalable Lakehouse solutions on Google Cloud Platform (GCP).
This role requires deep technical involvement, including building pipelines, configuring Databricks, and troubleshooting production issues, in addition to architecture ownership.
Key Responsibilities
1. Architecture & Hands-on Implementation
Design end-to-end Databricks Lakehouse architecture on GCP
Hands-on implementation of:
Databricks workspaces, clusters, jobs, and workflows
Delta Lake–based Bronze / Silver / Gold data layers
Batch and streaming pipelines using Spark and Databricks
Create reference implementations and reusable frameworks for teams
Actively participate in coding, reviews, and production deployments
2. Data Engineering (Hands-on)
Build and optimize Spark jobs and Databricks notebooks
Implement ingestion pipelines from:
Databases and enterprise applications
Streaming sources (Pub/Sub, Kafka)
External and SaaS systems
Perform performance tuning and cost optimization
Troubleshoot pipeline failures and production issues directly
3. Security, Governance & Compliance
Implement (not just define) governance using Unity Catalog
Configure access control integrated with GCP IAM
Set up secure networking (VPC, private endpoints)
Enable audit logging, lineage, and data classification
Work closely with security teams to operationalize standards
4. DevOps, Automation & Operations (Hands-on)
Build CI/CD pipelines for Databricks notebooks, jobs, and configs
Implement Infrastructure as Code using Terraform
Set up monitoring, alerting, and operational dashboards
Participate in production support, root-cause analysis, and fixes
Drive hands-on cost optimization initiatives
5. Stakeholder Collaboration
Translate business requirements into implemented solutions
Guide and mentor data engineers through code-level support
Conduct architecture and code reviews
Act as a technical owner from design through production
Required Skills & Experience
Must Have
Strong hands-on experience with Databricks (Apache Spark)
Proven experience building and deploying Lakehouse architectures
Hands-on experience with GCP, including:
Google Cloud Storage (GCS)
BigQuery
Pub/Sub
IAM & VPC basics
Experience implementing batch and streaming pipelines
Strong troubleshooting and production support skills
Good to Have
Unity Catalog, Delta Live Tables
CI/CD, Git, Terraform
MLflow, Vertex AI exposure
Multi-cloud Databricks experience (Azure / AWS)
Experience & Qualifications
8–12 years of experience in data engineering / data platforms
3+ years in a hands-on architect or senior technical lead role
Job Types: Full-time, Permanent
Pay: ₹3,000,000.00 - ₹4,000,000.00 per year
Benefits:
Health insurance
Provident Fund
Application Question(s):
What's your notice period?
What's your current ctc & expected ctc?
How many years of experience you have in GCP & Databricks?
Experience:
total: * years (Preferred)
Work Location: Hybrid remote in Mumbai, Maharashtra (Mumbai)
Role: Databricks & GCP Data Platform Architect (Hands-on)
Role Purpose
We are looking for a hands-on Databricks & GCP Data Platform Architect who will design and personally implement scalable Lakehouse solutions on Google Cloud Platform (GCP).
This role requires deep technical involvement, including building pipelines, configuring Databricks, and troubleshooting production issues, in addition to architecture ownership.
Key Responsibilities
1. Architecture & Hands-on Implementation
Design end-to-end Databricks Lakehouse architecture on GCP
Hands-on implementation of:
Databricks workspaces, clusters, jobs, and workflows
Delta Lake–based Bronze / Silver / Gold data layers
Batch and streaming pipelines using Spark and Databricks
Create reference implementations and reusable frameworks for teams
Actively participate in coding, reviews, and production deployments
2. Data Engineering (Hands-on)
Build and optimize Spark jobs and Databricks notebooks
Implement ingestion pipelines from:
Databases and enterprise applications
Streaming sources (Pub/Sub, Kafka)
External and SaaS systems
Perform performance tuning and cost optimization
Troubleshoot pipeline failures and production issues directly
3. Security, Governance & Compliance
Implement (not just define) governance using Unity Catalog
Configure access control integrated with GCP IAM
Set up secure networking (VPC, private endpoints)
Enable audit logging, lineage, and data classification
Work closely with security teams to operationalize standards
4. DevOps, Automation & Operations (Hands-on)
Build CI/CD pipelines for Databricks notebooks, jobs, and configs
Implement Infrastructure as Code using Terraform
Set up monitoring, alerting, and operational dashboards
Participate in production support, root-cause analysis, and fixes
Drive hands-on cost optimization initiatives
5. Stakeholder Collaboration
Translate business requirements into implemented solutions
Guide and mentor data engineers through code-level support
Conduct architecture and code reviews
Act as a technical owner from design through production
Required Skills & Experience
Must Have
Strong hands-on experience with Databricks (Apache Spark)
Proven experience building and deploying Lakehouse architectures
Hands-on experience with GCP, including:
Google Cloud Storage (GCS)
BigQuery
Pub/Sub
IAM & VPC basics
Experience implementing batch and streaming pipelines
Strong troubleshooting and production support skills
Good to Have
Unity Catalog, Delta Live Tables
CI/CD, Git, Terraform
MLflow, Vertex AI exposure
Multi-cloud Databricks experience (Azure / AWS)
Experience & Qualifications
8–12 years of experience in data engineering / data platforms
3+ years in a hands-on architect or senior technical lead role
Job Types: Full-time, Permanent
Pay: ₹3,000,000.00 - ₹4,000,000.00 per year
Benefits:
Health insurance
Provident Fund
Application Question(s):
What's your notice period?
What's your current ctc & expected ctc?
How many years of experience you have in GCP & Databricks?
Experience:
total: * years (Preferred)
Work Location: Hybrid remote in Mumbai, Maharashtra (Mumbai)
💡 Quick Summary
Seeking a career-building opportunity? The GCP cloud Architect position is now open for candidates interested in the Architect / Interior Designer Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Architect / Interior Designer Jobs is a plus.