Data Engineering Team Lead Azure Focused (AWSGCP Experience a Plus)

The Position

The Data Engineering team is a vital component of OPSWATs technology division responsible for building and maintaining the foundational data infrastructure that supports the entire organization. One of OPSWAT Core Principles is Data is King. Enterprise Data teams mission is to create a scalable reliable and secure data platform enabling data-driven decision-making across all business units. This involves managing existing data warehouses and lakes developing robust data integration pipelines and ensuring the quality and accessibility of data assets. A key strategic initiative for the team is the development of a Master Data Management (MDM) layer and the evolution of our architecture to serve data close to real-time for internal applications.

What You Will Be Doing

• Platform Stewardship & Maintenance: Manage and maintain the existing Microsoft Fabric platform ensuring the performance reliability and security of OneLake Lakehouses and Warehouses through proactive monitoring and capacity optimization.
• Infrastructure Enhancement: Propose and implement continuous improvements to the existing Fabric infrastructure and lead the design of new build roadmaps at least three quarters in advance.
• Real-Time Data Architecture: Gather requirements and design data architectures that serve data close to real-time for internal applications.
• Data Quality & Governance: Design and implement data governance frameworks and data quality rules to ensure a single source of truth across all connected systems.
• Cost & Resource Optimization: Optimize data storage & computing resources for cost efficiency
• Risk Management: Ensure data platform availability and resiliency including disaster recovery planning handling service outages and mitigating external security threats.
• Collaboration & Communication: Report to Head of Enterprise Data and work with Analytics Product Digital Transformation and other Operation teams... to translate complex technical concepts into laymans terms and deliver solutions that meet stakeholder needs.
• Team Leadership: Manage team resources define measurable KPIs for team members and implement strategies to mitigate Key Man Dependency.
• Innovation: Stay abreast of industry trends and technologies to propose appropriate solutions that align with the companys evolving needs.
• Hands-on Execution: Balance team management responsibilities with hands-on technical work in pipeline development and architectural design.

What We Need From You

• Bachelors degree in Computer Science Data Engineering or related field.
• Minimum of 5 years of proven experience in data warehouse/data lake design and implementation.
• Hands-on experience maintaining and optimizing a Microsoft Fabric environment (including OneLake and Fabric Capacity management).
• Extensive experience with ETL/ELT tools and the ability to build complex ingestion frameworks for API-based data sources.
• Experience in proposing and designing near real-time data solutions to support internal application requirements.
• Strong understanding of database architecture principles encompassing relational (SQL) and NoSQL concepts.
• Proven project management skills with the ability to lead a technical project from inception to completion.
• Direct experience in building managing and mentoring a data engineering team.
• Experience integrating data from multiple SaaS applications (e.g. Salesforce Hubspot Netsuite Workday ZoomInfo).
• Experience researching and implementing Master Data Management (MDM) solutions.
• Strong problem-solving analytical and troubleshooting skills.

It Would Be Nice If You Had

• Good written and verbal communication skills for effective cross-functional collaboration.
• Experience with real-time data streaming technologies such as Azure Event Hubs or Kafka.
• Experience with DevOps practices for automating data pipelines specifically using Fabric Git integration and CI/CD.
• Experience working within a Scrum or Agile framework

Required Experience:

IC