The Role
Designs end-to-end Databricks Lakehouse architectures, leads enterprise data pipelines, ETL frameworks, and real-time streaming applications. Defines architecture standards, mentors engineering teams, translates business needs into scalable solutions, and implements CI/CD, orchestration, security, and cloud infrastructure practices. Optimizes large-scale data systems for performance and cost while overseeing integrations with Power BI, Kafka, Snowflake, and upstream and downstream platforms.
Summary Generated by Built In
Role:
Databricks Architect
Job
Title: Databricks Solution Architect
Experience:
8+ years
Location: Bangalore (WFH)
Notice- Looking for candidates who can join within 30 days.
Key Responsibilities:
· Design
end-to-end Lakehouse architecture on Databricks using best practices
· Lead the development of enterprise-grade data pipelines, ETL frameworks, and real-time streaming applications
· Define data architecture patterns and technical standards
· Guide and mentor developers and junior engineers
· Collaborate with stakeholders to translate business requirements into scalable technical solutions
· Evaluate and implement CI/CD, orchestration tools, and security models
· Optimize performance and cost efficiency in large-scale data systems
· Oversee integration with upstream and downstream systems (Power BI, Kafka, Snowflake, etc.)
· Lead the development of enterprise-grade data pipelines, ETL frameworks, and real-time streaming applications
· Define data architecture patterns and technical standards
· Guide and mentor developers and junior engineers
· Collaborate with stakeholders to translate business requirements into scalable technical solutions
· Evaluate and implement CI/CD, orchestration tools, and security models
· Optimize performance and cost efficiency in large-scale data systems
· Oversee integration with upstream and downstream systems (Power BI, Kafka, Snowflake, etc.)
Required Skills:
· Strong
architecture-level experience with Databricks
and Apache Spark
· Expertise in Delta Lake, Databricks SQL, and advanced data engineering patterns
· Solid understanding of cloud architecture (Azure/AWS/GCP), including security, networking, and cost optimization
· Hands-on with DevOps/CI-CD, infrastructure-as-code (Terraform/ARM), Git, and automation
· Excellent problem-solving skills and stakeholder communication
· Expertise in Delta Lake, Databricks SQL, and advanced data engineering patterns
· Solid understanding of cloud architecture (Azure/AWS/GCP), including security, networking, and cost optimization
· Hands-on with DevOps/CI-CD, infrastructure-as-code (Terraform/ARM), Git, and automation
· Excellent problem-solving skills and stakeholder communication
Skills Required
- 8+ years of experience
- Strong architecture-level experience with Databricks and Apache Spark
- Expertise in Delta Lake, Databricks SQL, and advanced data engineering patterns
- Understanding of cloud architecture across Azure, AWS, or GCP, including security, networking, and cost optimization
- Hands-on experience with DevOps, CI/CD, infrastructure as code using Terraform or ARM, Git, and automation
- Excellent problem-solving and stakeholder communication skills
- Ability to join within 30 days
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The Company
What We Do
Aptus Data Labs is a global data engineering and AI consulting company helping enterprises modernize their data landscapes, accelerate AI adoption, and build scalable digital and product capabilities. Its expertise spans artificial intelligence, generative AI, data engineering, cloud solutions, and industry platforms, supporting organizations in pharmaceuticals, financial services, manufacturing, supply chain, retail, consumer packaged goods, and technology.
