Databricks Lakehouse platform jobs Skill: Databricks Lakehouse platform Principal Consultant - Databricks
NCS Australia · Sydney, Australia
AI engineer-Databricks Data Platform
Ecolab · Bangalore, India
AI engineer-Databricks Data Platform
Ecolab Inc. · Bangalore, India
Lead Databricks Data Engineer
EXL · New York, USFull-time · Senior
Databricks Data Engineer
EXL · US+1 more Full-time
Databricks Administrator
PEAK Technical Services Inc. · Washington, US
Senior Data Engineer
Penn Foster Group · Remote, USRemote · Full-time · Senior
+10K new in the last hour
NCS Australia · Posted Nov 9, 2026
Sydney, New South Wales, Australia
Lead design, architecture, and delivery of enterprise-scale data and analytics solutions on Databricks Lakehouse Platform, providing technical leadership and consulting to clients.
Design and architect scalable, secure, high‑performing data platforms using Databricks and cloud technologies Translate business requirements into technical solutions and define data strategies Lead data platform modernisation, migration, and transformation initiatives Establish best practices for data management, security, governance, and DevOps Mentor technical teams and support pre‑sales and solution development activities
Ecolab · Posted Nov 6, 2026
Bangalore, Karnataka, India 5+ yearsDesign, build, configure, and operationalize Databricks platform for enterprise Data & AI solutions.
Design, build, configure, and maintain Databricks workspaces across development, testing, and production environments. Implement platform standards, reusable frameworks, templates, and best practices. Manage Unity Catalog, clusters, SQL Warehouses, compute policies, workspace configurations, and access controls. Automate platform deployment and configuration using Infrastructure as Code (Terraform, CI/CD pipelines). Build and integrate scalable data pipelines using Databricks Lakehouse architecture. Bachelor's or master’s degree in computer science, Engineering, IT, or a related field. Nice to have: Generative AI Nice to have: Agentic AI Nice to have: LLM-based applications Nice to have: Snowflake integration Ecolab Inc. · Posted Nov 6, 2026
Bangalore, Karnataka, India 5+ yearsDesign, build, configure, and operationalize Databricks platform for enterprise Data & AI solutions.
Design, build, configure, and maintain Databricks workspaces Implement platform standards, reusable frameworks, templates Manage Unity Catalog, clusters, SQL Warehouses, compute policies Automate platform deployment using Terraform and CI/CD Build scalable data pipelines with Databricks Lakehouse Bachelor's or master’s degree in computer science, Engineering, IT, or a related field Nice to have: Generative AI Nice to have: Agentic AI Nice to have: LLM-based applications Nice to have: Databricks integration with Snowflake New York, United States Full-time · Senior 10–12 yearsLead Databricks Data Engineer
Design and implement enterprise-scale data platforms using Databricks Lakehouse architecture. Architect and develop scalable ETL/ELT data pipelines for batch and real-time processing. Define enterprise data models, ingestion frameworks, and transformation strategies. Lead the implementation of Delta Lake, Unity Catalog, and data governance frameworks. Build and optimize highly scalable Spark and PySpark solutions handling large-volume datasets. Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related field Nice to have: Scala (Preferred) Nice to have: MLOps and AI Engineering exposure Nice to have: Snowflake and Databricks integration experience Nice to have: Microsoft Fabric exposure United States +1 more Full-time 8–10 yearsLead the design, development, modernization, and optimization of enterprise-scale data platforms using Databricks Lakehouse architecture.
United States New York, United States Design and implement enterprise-scale data platforms using Databricks Lakehouse architecture. Architect and develop scalable ETL/ELT data pipelines for batch and real-time processing. Define enterprise data models, ingestion frameworks, and transformation strategies. Lead the implementation of Delta Lake, Unity Catalog, and data governance frameworks. Build and optimize highly scalable Spark and PySpark solutions handling large-volume datasets. Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related field. Nice to have: Scala (Preferred) Nice to have: MLOps and AI Engineering exposure PEAK Technical Services Inc. · Posted Nov 5, 2026
Washington, United States 7+ yearsLead design, implementation, and optimization of Databricks solutions across data engineering, data science, and AI initiatives.
Lead design, implementation, and optimization of end-to-end solutions on Databricks Architect, build, and maintain scalable data ingestion, transformation, and orchestration pipelines Identify and resolve performance bottlenecks in Spark jobs, clusters, and SQL queries Establish and enforce Databricks best practices for security, data governance, compliance Support data science and machine learning teams by implementing MLflow, Feature Store, Vector Search, and generative AI Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field Nice to have: Databricks Certified Solutions Architect Nice to have: Databricks Certified Data Engineer Professional Nice to have: Databricks Certified Machine Learning Professional Nice to have: Cloud Architecture certification (AWS Certified Solutions Architect, Azure Solutions Architect Expert) Penn Foster Group · Posted Nov 3, 2026
Remote, United States Remote Full-time · Senior 6+ yearsSenior Data Engineer responsible for architecting, building, and evolving Penn Foster Group’s modern cloud data platform and AI strategy.
Architect and build scalable data pipelines Mentor and develop engineering team Establish engineering standards Drive adoption of Databricks and Azure capabilities Design and maintain semantic data products Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Nice to have: Databricks Genie Nice to have: Genie Spaces Nice to have: Genie Ontologies Nice to have: Semantic Modeling
Nice to have: Snowflake and Databricks integration experience
Nice to have: Microsoft Fabric exposure
Medical Dental Vision Flexible Spending Paid Time Off