Design, build, and maintain scalable data pipelines and solutions on Microsoft Azure or similar cloud platforms.
Develop and optimize ETL/ELT workflows to support high-volume, high-velocity data ingestion.
Implement robust data models and structures that support analytics, reporting, and machine learning workloads.
Integrate new data sources—internal and external—into the enterprise data ecosystem to expand data availability and unlock new business insights.
Partner with product, engineering, business and global teams to identify opportunities for new datasets and ensure seamless onboarding.
Establish scalable frameworks for data discovery, cataloging, and lineage to support enterprise wide data growth.
Automate data workflows, quality checks, and monitoring using Cloud native tools and Databricks capabilities.
Collaborate with data scientists to operationalize AI models using Databricks, Azure Machine Learning, or similar platforms.
Ensure data readiness, reliability, and accessibility to accelerate AI adoption and experimentation.
Contribute to the development of an enterprise AI strategy by identifying data gaps, opportunities, and scalable patterns.
Work closely with cross functional teams to translate business requirements into scalable data solutions.
Provide technical guidance and best practices on Azure and Databricks to engineering and analytics teams.
Participate in code reviews, architecture discussions, and continuous improvement initiatives.
Assist in identifying & defining new systems functionality within the Go To Market technology stack.
Improve processes/workflows within the Sales organization in regard to Sales applications and system support.
User support - troubleshooting, identifying problems and working with Local & Global IT to resolve technical issues and work with users to provide proper training.
Assist in the analysis of underlying system issues arising from investigations into requirements and problems, and identify available solutions for consideration.

Requirements

Technical aptitude and the ability to drive business value through focused technology solutions.
Deep hands-on experience with cloud services such as Azure data services (e.g., Data Factory, Databricks, ADLS, Synapse, Azure SQL).
Strong proficiency in building scalable ETL/ELT pipelines using Databricks (APIs, PySpark, Spark SQL, Delta Lake).
Solid understanding of distributed computing, data lakehouse architecture, Unity Catalog and modern data engineering patterns.
Ability to design and optimize data models that support analytics, reporting, and machine learning workloads.
Strong SQL and Python skills, with the ability to write clean, efficient, production ready code.
Proven ability to onboard new data sources, integrate APIs, and work with structured, semi-structured data.
Experience designing frameworks for data ingestion, metadata management, and data lineage.
Comfort working with large-scale datasets and evolving data ecosystems.
Experience automating data workflows, quality checks, and monitoring using Azure-native tools.
Familiarity with CI/CD practices for data engineering (e.g., GitHub Actions, Azure DevOps).
Ability to build resilient, self-healing pipelines that minimize manual intervention.
Strong focus on performance tuning, cost optimization, and operational reliability.
Ability to build and maintain feature pipelines that support ML and AI initiatives.
Experience collaborating with data scientists to operationalize models in Databricks or Azure ML.
Understanding of how data quality, structure, and availability impact AI outcomes.
Curiosity and initiative to identify new data opportunities that unlock AI use cases.
Strong ability to turning data into insights and communicate actionable business narratives.
Ability to quickly adapt new AI technologies around LLMs, MCPs, prompt engineering and advanced data modelling.
Interest in developing a deep understanding of the Foodservice industry and its go to market use cases.
Ability to lead and execute multiple projects simultaneously.
Strong business partnering and communication skills.

Benefits

Health insurance (including prescription drug, dental, and vision coverage)
Retirement savings benefits
Life insurance and disability benefits
Parental leave
Sick leave
Paid vacation and holidays
Access to numerous voluntary benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

ETLELTdata pipelinesdata modelsSQLPythonDatabricksAzure Machine LearningAPIsPySpark

Soft Skills

technical aptitudebusiness valuecollaborationcommunicationcuriosityinitiativeadaptabilityleadershipproblem-solvingproject management