Sr Data Engineer

Sr Data Engineer

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Freeman is a global leader in events, on a mission to redefine live for a new era. With a data-driven approach and the industry’s largest network of experts, Freeman’s insights shape exhibitions, exhibits, and events that drive audiences to action. The integrated full-service solutions leverage a 97-year legacy in event management as well as new technologies to deliver moments that matter.

We’re looking for an experienced and mission-driven Sr Data Engineer. The role will report directly to the Manager of Data Engineering and join the company’s transformative IT team. You will be responsible for developing and working with a highly motivated group of data engineers, data architects and data contractor resources covering multiple disciplines, for refining Freeman’s transformative systems to meet its customer’s needs and contributing to the strategic direction of the business.

This position will focus on the development of data platform solutions. Sometimes it will be building upon existing solutions for the enterprise, and other times creating new complex data solutions.

Position will support the Technology Services team. It is eligible to work a hybrid schedule, generally requiring work in‑office and/or show site 2‑3 days per week. The ideal candidate will be based out of any of the following locations:
Atlanta, GA;
Dallas, TX.

• Development, testing, change & configuration management, and automated deployment of data management solutions – data ingestion, data transformation, data virtualization, data model, interfaces, databases, etc.
• System integration across foundational data sources, the on‑premises and cloud platforms they reside within, and other third‑party data solutions.
• Designing, building, and maintaining ETL/ELT data pipelines.
• Working with large datasets, data lakes (lakehouse), and big data technologies, preferably cloud-based, such as Snowflake, Synapse, Databricks, or similar.
• Use Git and Azure Dev Ops Pipelines for deployment automation of data solutions.
• Design and develop data warehouses and data pipelines within Azure and or AWS.
• Act as a key contributor to the design and development lifecycle of analytic applications utilizing Snowflake, AWS, Microsoft Azure and BI technology platforms.
• Participate in Agile ceremonies including daily stand-ups, sprint planning, retrospectives, and product demonstrations.
• Produce efficient and elegant code that meets business requirements.
• Author unit tests that adhere to code coverage guidelines.
• Proactively communicate progress, issues, and risks to stakeholders.
• Create and maintain technical documentation.
• Performs other related duties as directed.

• Bachelor’s degree preferred, High School Diploma or Equivalent with relevant work experience required.
• Experience designing Data Lakes and Data Warehouses.
• Experience with Snowflake, Azure Synapse and Azure Databricks preferable.
• Participate in driving best practices around data engineering and software development process.
• Understand data and query optimization, query profiling, and query performance monitoring tools and techniques.
• Experience with a range of AWS and/or Azure services, including Infrastructure and Security related services such as Azure AD, IaaS, Containers, Storage, Networking, and Azure Security, Airflow, SNS, SQS, S3.
• Familiarity with designing and building data platforms supporting both batch and real‑time (event‑based) architecture for cloud data platforms is considered a strong plus.
• Familiarity with big data platforms, tools, Kafka, predictive modeling, machine learning, etc. is considered a strong plus.
• 2-5 years of hands‑on experience designing and implementing large-scale distributed data architecture for BI and OLTP systems.
• 2-5 years of hands‑on experience designing and implementing large-scale data pipelines.
• 2-5 years of hands‑on experience in Snowflake, AWS and Azure data services.
• 2-5 years of hands‑on experience with data integration using ETL / ELT tools.
• Experience with cloud-based technologies, preferably AWS and Azure, Airflow, SNS, SQS, S3, ADLS Gen…