Build, scale, and maintain robust data pipelines/models using DBT, Python, PySpark, Databricks, and SQL
Design and manage semantic models, star schemas, ontologies, taxonomies, knowledge graphs, and glossaries using DBT YAML, GitHub, Unity Catalog, Fabric/OneLake, and Power BI
Utilize low-code/no-code tools (Trifacta, DBT, Power BI, Tableau, Fabric/OneLake, Copilot Studio)
Own AI deployment pipelines with containerized agents and automation using Kubernetes, n8n, LangChain, Azure AI Foundry
Strengthen AI accuracy/governance via metadata, access controls, and grounding
Design modular, reusable data models for analytics, reporting, AI enablement, and agentic apps
Develop and monitor mapping tables, validation rules, lineage, error logging, and observability for ETL/ELT health
Collaborate with analysts, engineers, and stakeholders to transform raw data into governed datasets
Implement agentic AI and Copilot integrations to enhance data accessibility
Drive innovation in Data Quality Suite roadmap.
Contribute to medallion architecture (bronze/silver/gold) and best practices for reusable components.
Manage Databricks Unity Catalog, Workflows, SQL Analytics, Notebooks, and Jobs for governed analytics.
Develop pipelines/tools with Microsoft Fabric, Power BI, Power Apps, Azure Data Lake/Blob, and Copilot Studio.

Requirements

8+ years of experience as a Data Engineer or in a similar role
Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field required
Advanced expertise in SQL, Python, DBT
Strong experience with PySpark, Databricks, and semantic layer tools like DBT YAML, Unity Catalog, and knowledge graphs required
Hands-on experience with ETL/ELT design tools like Trifacta (Alteryx), Adverity, Azure Data Factory, Fabric/Power BI DAX, or similar
Proven experience building and extending semantic layers for AI applications
Deep experience in the Microsoft Tech Data Stack, including Power BI, Power Apps, Fabric/OneLake, Azure Data Lakes (ADLS Gen2), Azure Blob Storage
Experience with AI deployment and orchestration tools such as Kubernetes, n8n, LangChain
Strong experience in developing and managing API endpoints
Proficiency in Java or Scala for large-scale data processing
Experience supporting data observability, quality frameworks
Strong familiarity with Git-based development.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

SQLPythonDBTPySparkDatabricksETLELTAPI developmentJavaScala

collaborationinnovationdata governanceproblem-solvingcommunication