About the Role

We are seeking a highly experienced Databricks Architect to lead the design and evolution of a up-to-date, enterprise-grade data platform built on the Databricks Lakehouse architecture . This is a senior-level role with a 50% hands-on coding and 50% architecture, design, and mentorship focus.

Key ResponsibilitiesArchitecture & Strategy

- Define the overall Databricks platform architecture, including workspace design, storage patterns, compute strategies, and enterprise integrations
- Establish architectural standards to ensure scalability, performance, security, and cost efficiency

Governance & Security

- Design and implement Unity Catalog governance frameworks , including:

- Metastore design

- Multi-catalog and schema strategies

- Fine-grained access controls and ABAC

- Identity federation and compliance requirements

Technical Leadership

- Act as the technical authority for the Databricks platform

- Perform code reviews and mentor senior and mid-level engineers

- Define best practices for:

- Medallion architecture

- Delta Lake optimization

- Data mesh and cross-domain data sharing

- Pipeline orchestration

Platform Design & Optimization

- Architect compute strategies (job clusters, all-purpose clusters, SQL warehouses, serverless)
- Drive performance tuning, cost optimization, and workload isolation
- Design monitoring and observability approaches

DevOps & Automation

- Design CI/CD pipelines for Databricks assets
- Implement Git-based development workflows




- Define infrastructure-as-code standards using Terraform or similar tools

Integration & Enablement

- Design integration patterns with upstream source systems and downstream analytics tools
- Translate business requirements into clear architectural blueprints
- Enable and upskill engineering teams through guidance and documentation

Required Skills & Experience

- 7+ years of experience in data architecture, data engineering, or platform engineering

- 3+ years of hands-on Databricks architecture experience

- Expert knowledge of:

- Databricks Lakehouse architecture

- Unity Catalog

- Delta Lake and Delta Live Tables

- Databricks Workflows and SQL Warehouses

- Databricks SQL and MLflow

- Strong proficiency in SQL, Python, and PySpark :

- Experience with enterprise data architectures (medallion, multi-hop, data mesh)

- Cloud platform experience (Azure, AWS, or GCP)

- Hands-on experience with Terraform or similar IaC tools :

- Proven background in performance tuning and cost optimization

Preferred Qualifications

- Databricks certifications (Data Engineer Qualified, Solutions Architect)

- Cloud certifications (Azure, AWS, or GCP)

- Experience with:

- Streaming platforms (Kafka, Event Hubs, Kinesis)

- MLOps and AI/ML platform architecture

- Multi-tenant and secure data architectures

- Analytics tools (Power BI, Tableau, Looker)

- CDC tools (Debezium, Fivetran, Qlik)

Hours: Overlap with US ET (start time 3:30 AM ET)

Job Types : Permanent, Contractual / Temporary

Work Location: Remote

📌 Databricks Architect (Remote) (India)
🏢 Sky Systems
📍 India