Job description

Job Summary We are seeking a skilled Databricks Engineer with minimum of 5+ years of hands-on in Databricks who can design, develop, and optimize scalable data platforms and analytics solutions using the Databricks Lakehouse Platform. The ideal candidate will have expertise in data engineering, ETL/ELT development, cloud technologies preferably Azure, and big data processing to support enterprise analytics and AI initiatives. Job Description: Azure / Databricks Data Engineer (9-15 Years Experience) Senior Azure Databricks Data Engineer Experience 9-15 Years of IT Experience Location Hybrid Job Summary We are seeking a skilled Databricks Engineer with minimum of 5+ years of hands-on in Databricks who can design, develop, and optimize scalable data platforms and analytics solutions using the Databricks Lakehouse Platform. The ideal candidate will have expertise in data engineering, ETL/ELT development, cloud technologies preferably Azure, and big data processing to support enterprise analytics and AI initiatives. Key Responsibilities • Design, develop, and maintain data pipelines using Databricks, Apache Spark, and cloud-native services. • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data. • Develop data models and implement data quality, validation, and governance frameworks. • Integrate data from multiple sources into a unified Lakehouse architecture. • Optimize Spark jobs and Databricks workloads for performance, scalability, and cost efficiency. • Implement security controls, access management, and data governance using Unity Catalog. • Collaborate with business, analytics, and AI/ML teams to deliver trusted data products. • Monitor, troubleshoot, and resolve data pipeline issues. • Support CI/CD, DevOps, and infrastructure automation practices. • Maintain technical documentation and best practices. Required Technical Skills Core Technologies • Databricks Lakehouse Platform • Apache Spark / PySpark • Delta Lake • SQL • Python Data Engineering • ETL / ELT Development • Data Modeling • Data Warehousing • Data Quality & Validation • Streaming & Real-Time Processing Governance & Security • Unity Catalog • Data Lineage • Row-Level Security • Access Control & Compliance • Data Governance Frameworks Cloud & DevOps • Azure / AWS / GCP • Terraform • GitHub Actions / Azure DevOps • CI/CD Pipelines Analytics & AI • Semantic Layers • Data Products • BI Platforms • Machine Learning Support • Generative AI & RAG Architectures Required Qualifications • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field. • 9-15 years of experience in Data Engineering and Data Warehousing. • Minimum 5+ years of hands-on experience with Azure Data Engineering technologies. • Minimum 4+ years of hands-on experience with Azure Databricks and Spark ecosystem. • Strong understanding of data lake, lakehouse, and cloud-native architecture patterns. • Experience in handling large-scale structured and unstructured datasets. • Strong analytical, problem-solving, and troubleshooting skills. Preferred Qualifications • Microsoft Certified: Azure Data Engineer Associate (DP-203) . • Databricks Certified Data Engineer Associate/Professional. • Experience with Snowflake, Power BI, or Microsoft Fabric. • Experience in real-time streaming solutions using Kafka/Event Hubs. • Exposure to Data Governance and Master Data Management initiatives. Soft Skills • Strong stakeholder management and communication skills. • Ability to lead technical initiatives and drive architecture discussions. • Experience working in Agile/Scrum environments. • Excellent documentation and presentation skills. • Strong mentoring and team leadership abilities. Nice to Have • Microsoft Fabric • Power BI • Azure Event Hubs • Kafka • Machine Learning data pipelines • Data Governance tools such as Purview Support critical and nonproduction databases in multitenant, highstress environments. Support applications Installation, Configuration, Management, and Monitoring of databases in a SOX and PHI compliant environment Installation, configuration, and integration of thirdparty applications and tools Development of procedures for automated monitoring and proactive intervention, preventing customer impact Bachelors Degree/ Post Bachelor Degree 8 - 10+ Years Base Compensation Range: USD $ 90,500 – $140,000 The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

Requirements

Must-haves

Job Description: Azure / Databricks Data Engineer (9-15 Years Experience)
Senior Azure Databricks Data Engineer
9-15 Years of IT Experience
Design, develop, and maintain data pipelines using Databricks, Apache Spark, and cloud-native services.
Build and optimize ETL/ELT workflows for large-scale structured and unstructured data.
Develop data models and implement data quality, validation, and governance frameworks.
Integrate data from multiple sources into a unified Lakehouse architecture.
Optimize Spark jobs and Databricks workloads for performance, scalability, and cost efficiency.
Implement security controls, access management, and data governance using Unity Catalog.
Collaborate with business, analytics, and AI/ML teams to deliver trusted data products.
Monitor, troubleshoot, and resolve data pipeline issues.
Support CI/CD, DevOps, and infrastructure automation practices.

Nice-to-haves

Microsoft Certified: Azure Data Engineer Associate (DP-203) .
Databricks Certified Data Engineer Associate/Professional.
Experience with Snowflake, Power BI, or Microsoft Fabric.
Experience in real-time streaming solutions using Kafka/Event Hubs.
Exposure to Data Governance and Master Data Management initiatives.
Strong stakeholder management and communication skills.
Ability to lead technical initiatives and drive architecture discussions.
Experience working in Agile/Scrum environments.
Excellent documentation and presentation skills.
Strong mentoring and team leadership abilities.
Microsoft Fabric
Azure Event Hubs

Application prep

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Keywords to mirror

azureaimlci/cdsqlpythonawsgcpmachine learningagilescrum

Platform: oracle-cloud
Effort: medium