Databricks Architect
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, apply now.
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 [email protected] or (888) 824 – 8111.