Databricks Architect

Cai Info India; Bengaluru; Remote; INR 4,000,000 - 7,000,000; Full time

Job summary

Cai Info India is seeking a Databricks Architect to lead design, governance, and optimization of enterprise-scale data and AI platforms on Databricks. This full-time remote role requires steering architecture across AWS/Azure, with a focus on Lakehouse, data governance, and scalable analytics capabilities.

The candidate will drive modernization of data warehouses and data lakes, mentor teams, and deliver executive-level roadmaps and blueprints while collaborating with business stakeholders and

Qualifications

• 10+ years of data engineering/architecture leadership roles.
• 5+ years with Databricks and modern cloud data platforms.
• Experience designing enterprise-scale data lake, data warehouse, Lakehouse architectures.
• Expertise in Databricks, Delta Lake, Unity Catalog, Workflows, and Databricks SQL.
• Hands-on with AWS services (S3, IAM, Glue, Lambda, EC2, RDS, Redshift, CloudWatch).
• CI/CD, Infrastructure as Code, DevOps practices.
• Strong data governance, security, metadata management, cataloging, lineage, and compliance.
• Leadership across stakeholders and technical teams; executive communication.

Responsibilities

• Define and own the enterprise Databricks architecture strategy for scalable, secure platforms.
• Design modern data platforms leveraging Lakehouse architectures and AWS services.
• Lead modernization of data warehouses, data lakes, and analytics platforms.
• Establish enterprise standards, frameworks, and best practices for data pipelines and governance.
• Architect secure, high-performance batch and real-time data processing solutions.
• Develop reference architectures for data engineering, ML, and AI workloads.
• Drive data governance, lineage, metadata management, security, and compliance.
• Mentor engineering teams on platform setup, networking, monitoring, and ops readiness.
• Deliver architecture documentation, roadmaps, and technology recommendations.

Skills

Databricks

Delta Lake

Unity Catalog

AWS services

SQL

PySpark

Spark

CI/CD

DevOps

Cloud architecture

Education

Bachelor's degree or higher

Tools

Databricks

Delta Lake

Unity Catalog

Workflows

Databricks SQL

AWS S3

IAM

Glue

Lambda

EC2

RDS

Redshift

CloudWatch

Job description

Req number

R8699

Employment type

Full time

Worksite flexibility

Remote

Who we are

CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

We are looking for a motivated Databricks Architect ready to take us to the next level! If you have lead the design, implementation, governance, and optimization of enterprise-scale data and AI platforms on Databricks and are looking for your next career move,

Job Description

We are looking for a Databricks Architect to lead the design, implementation, governance, and optimization of enterprise-scale data and AI platforms on Databricks. This position will be full-time and remote.

What You'll Do

• Define and own the enterprise Databricks architecture strategy, ensuring scalability, security, reliability, and alignment with business and AI objectives
• Design modern data platforms leveraging Databricks Lakehouse, Delta Lake, Unity Catalog, and AWS services
• Lead the architecture and modernization of data warehouses, data lakes, and analytical platforms into scalable Lakehouse architectures
• Establish enterprise standards, frameworks, and best practices for data ingestion, transformation, orchestration, governance, and consumption
• Design and implement secure, high-performance batch and real-time data processing solutions
• Develop reference architectures for data engineering, advanced analytics, machine learning, and generative AI workloads
• Define data governance, lineage, metadata management, security, and compliance standards across the data platform
• Architect scalable and reusable data models that support reporting, analytics, operational intelligence, and AI use cases
• Guide implementation teams on platform setup, workspace design, networking, access controls, monitoring, and operational readiness
• Drive platform optimization initiatives related to compute utilization, workload management, storage performance, and cost efficiency
• Lead architectural reviews and provide oversight for critical data and AI initiatives
• Collaborate with business stakeholders, product owners, data engineers, ML engineers, and cloud teams to translate requirements into technical solutions
• Establish observability frameworks for monitoring platform health, performance, data quality, and usage patterns
• Evaluate emerging Databricks capabilities and recommend adoption strategies that enhance business value
• Develop migration strategies and execution roadmaps for legacy data platforms transitioning to Databricks
• Define disaster recovery, business continuity, backup, and resilience requirements for enterprise data platforms
• Drive architecture governance through design reviews, standards enforcement, and continuous improvement initiatives
• Mentor engineering teams and provide technical leadership on complex architecture decisions
• Deliver executive-level architecture documentation, roadmaps, solution blueprints, and technology recommendations
• Hands-on experience with both AWS and Azure cloud platforms, including architecture design, security, networking, storage, governance, and data services
• Strong understanding of multi-cloud data platform strategies and the ability to architect solutions across AWS and Azure environments
• Experience integrating Databricks with AWS and Azure native services to support enterprise analytics, data engineering, and AI use cases

What You'll Need

Required:

• Bachelor's degree or higher in Computer Science, Information Technology, Engineering, Data Science, or a related field
• 10+ years of experience in data engineering, data architecture, cloud architecture, or enterprise technology leadership roles
• 5+ years of hands‑on experience with Databricks and modern cloud‑based data platforms
• Extensive experience designing and implementing enterprise‑scale data lake, data warehouse, and Lakehouse architectures
• Strong expertise in Databricks, Delta Lake, Unity Catalog, Workflows, and Databricks SQL
• Hands‑on experience with AWS services such as S3, IAM, Glue, Lambda, EC2, RDS, Redshift, CloudWatch, and networking services
• Experience designing data pipelines using Spark, PySpark, SQL, and modern orchestration frameworks
• Deep understanding of data governance, security, metadata management, cataloging, lineage, and compliance requirements
• Experience with CI/CD, Infrastructure as Code, DevOps, and platform automation practices
• Strong knowledge of analytics, machine learning, and AI data platform requirements
• Experience establishing enterprise architecture standards, patterns, and best practices
• Proven ability to design highly available, scalable, and cost‑efficient cloud architectures
• Strong stakeholder management skills with experience engaging executive leadership, business stakeholders, and technical teams
• Ability to evaluate trade‑offs and make architecture decisions in complex and ambiguous environments
• Strong communication and presentation skills with the ability to influence technical and non‑technical audiences
• Proven leadership experience driving large‑scale transformation and modernization initiatives

Preferred :

• Knowledge of Databricks Genie, AI/BI capabilities, and natural language‑driven analytics solutions
• Databricks Certified Data Engineer Professional certification
• Databricks Certified Machine Learning Professional certification
• Databricks Certified Platform Architect certification
• AWS Solutions Architect Associate certification

Physical Demands

• Ability to safely and successfully perform the essential job functions
• Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
• Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre‑employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [e-mail] or (888) 824 – 8111.