Manager, Data Engineering

Flight Safety International - Columbus, OH

Full-time - Manager

Columbus, OH

Machinery Manufacturing

About the position

The Manager, Data Engineering at FlightSafety International is responsible for overseeing teams that manage data pipelines, analytic data stores, and visualization. This role requires a strong technical background in data engineering, proven leadership capabilities, and a strategic mindset to ensure the design, development, and maintenance of scalable data analytics platforms that meet business needs.

Responsibilities

• Design and maintain scalable, high-performance data architectures.
• Ensure reliability, accuracy, and security of data systems.
• Implement and enforce data governance policies and standards.
• Provide regular updates to Program managers and stakeholders.
• Collaborate with cross functional teams - PMs, Scrum Masters, BRMs and BAs.
• Facilitate effective communication and collaboration across departments.
• Stay updated with latest trends and technologies in data engineering.
• Continuously evaluate and optimize data infrastructure and processes.
• Manage risks related to data security and privacy.
• Ensure data analytics products are monitored and supported 24*7.
• Identify, define, and assess the properties and specifications necessary for the database management system (DBMS) to meet the current and future needs of the organization.
• Communicate technology issues and potential risks to senior leadership, with associated mitigation plans.
• Prioritize and manage workload and communicate issues clearly.
• Complete other tasks as required.

Requirements

• Bachelor's degree in computer science, Information systems or related field from an accredited institution or equivalent industry experience.
• 10+ years of experience in data and analytics development, and implementation using cloud data platforms, preferably MS Azure.
• 3+ years of experience leading/supervising Data Engineering teams.
• In-depth experience in the use of programming languages (i.e., Transact SQL and stored procedures, Python, Power Query).
• 5+ years of experience in Azure Databricks, Data Lake, Data Factory and Power BI.
• 3+ years of enterprise ETL, analytics & reporting development experience in SSIS, SSRS.
• 3+ years of experience in RDBMS design and development, demonstrating mastery of logical and physical database design and data normalization concepts.
• Experience implementing Data Vault 2.0, Medallion architecture and dimensional models.
• Experience with Autoloader, DLT Pipelines, Unity Catalog.
• Experience managing and optimizing utilization of PBI Service and Databricks clusters.
• Experience in change data capture and replication tools like HVR, SQDR etc.
• Expert SQL abilities and troubleshooting skills with extensive hands-on development experience: T-SQL, UDF, UDAF, View, Trigger, Stored Proc.
• Experience working in visual studio development environment and using DevOps platforms for code management and deployment using CI/CD techniques.
• Familiarity with SDLC and agile methodologies and tools such as TFS, Git or SCRUM.
• Experience in communicating with executives and senior leadership.
• Experience with professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing and operations.
• Ability to create and maintain data flows and data modeling diagrams.
• Knowledge of data governance, data security, privacy, and compliance.
• Excellent project management skills with the ability to manage multiple projects simultaneously.
• In-depth experience with Agile development methodology.
• Excellent analytical and interpersonal skills.
• Strong written and verbal communications skills.
• Excellent organizational skills, including the ability to multi-task and prioritize workload.