Databricks Lakehouse Platform jobs Skill: Databricks Lakehouse Platform Senior Data Engineer
ShyftLabs · Coimbatore, IndiaSenior
Technical Data Engineer -Databricks
ShyftLabs · Coimbatore, India
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
+10K new in the last hour
ShyftLabs · Posted Nov 10, 2026
Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, Python, and SQL.
We are proud to offer a competitive salary alongside a strong insurance package.
Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, Python, and SQL. Work on Databricks infrastructure, including workspace configuration, clusters, compute resources, access controls, and performance optimization. Apply Data Governance principles, including data quality, data lineage, metadata management, data cataloging, and access controls. Work with Unity Catalog to manage data permissions, governance policies, and data assets. Develop and manage Delta Lake tables using Medallion Architecture (Bronze, Silver, and Gold). Competitive salary Strong insurance package Extensive learning and development resources ShyftLabs · Posted Nov 10, 2026
Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and SQL.
We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and SQL. Integrate data from multiple sources, including databases, Amazon S3, files, and REST APIs. Build data pipelines with Databricks Unity Catalog. Implement business logic, data transformations, and dimensional data models. Create, schedule, monitor, and optimize Databricks Jobs and Workflows. Nice to have: Auto Loader Nice to have: Spark Declarative pipelines Nice to have: Kafka Nice to have: Airflow Nice to have: dbt NCS Australia · Posted Nov 9, 2026
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
Design, 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
Design, 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 Lead 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 Lead 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
Lead 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) Competitive salary Strong insurance package Extensive learning and development resources
Nice to have: Snowflake and Databricks integration experience
Nice to have: Microsoft Fabric exposure
Senior Data EngineerNewShyftLabs · Coimbatore, India
AI engineer-Databricks Data PlatformEcolab Inc. · Bangalore, India
Lead Databricks Data EngineerEXL · New York, US