Director, Data Engineering

Overview
As the Data Engineering Director, you will be responsible for driving the technical vision, strategy, and delivery of our Enterprise Data Platform, instrumental in driving innovation, ensuring data quality & accessibility, and fostering collaboration across teams to harness the power of data for informed decision-making.

Opportunity Highlights

• Lead a team of Data engineers, providing guidance, support, and fostering a culture of collaboration and excellence.
• Establish forward looking Data and technology objectives and developing the strategies, roadmap, and actions for the team to achieve them.
• Use best of breed Cloud based technologies to design, implement, and maintain a new generation scalable data lake, data warehouse/marts, and data pipelines.
• Manage budgets, resources, and project timelines to deliver high-quality data products keeping projects on schedule and within budget.
• Work collaboratively with senior management, product owners, developers, and other cross-functional teams to develop broadly acceptable solutions.
• Stay current with latest advancements in Data Engineering technologies, tools, and frameworks, and incorporate them into the teams workflow.
• Ensure the quality, scalability, and security of data solutions, adhering to best practices and industry standards
• Drive innovation and continuous improvement in analytical development processes, fostering a culture of learning and experimentation.
• Evangelize Enterprise Data & Analytics Team mission and identify opportunities to influence decision making with supporting data & analysis.
• Conduct regular performance evaluations and provide actionable feedback to team members, identifying areas for growth and development to achieve their career goals.
• Evaluate and implement partnerships, vendor solutions, and external collaborations to augment the team's capabilities.

Skills & Qualifications

• Bachelors or Masters Degree in Computer Science, Engineering, Information Technology, or related field or experience
• Proven experience (at least 10+ years) in leading Data Teams, delivering advance data & analytics products and managing Enterprise level production data platforms.
• 5+ years of experience in building cloud data applications (data lake, cloud data warehouse, cloud analytical servers.) & Deep understanding of cloud computing (Azure preferred)
• 5+ years experience with a data engineering/analysis programming language (e.g., Python, R, PySpark etc.)
• 5+ years of proven SQL Server experience building and supporting Data Warehouse structures and supporting end user reporting tools such as Tableau/Power BI/SSRS
• Proven track record of delivering projects on time and within budget, with a focus on quality and scalability, particularly in enterprise data & analytical applications.
• Experience in setting data design/architecture standards and best practices, leading forums to review initiatives and ensure adherence to the guidelines.
• Established experience delivering information management solutions to large numbers of end users.
• Excellent leadership and people management skills, with a track record of building high-performing teams in generative AI.
• Effective communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders
• Ability to work and potentially lead in an Agile methodology environment.
• Strong business acumen, analytical skills, and technical abilities
• Practical problem-solving skills and ability to move complex projects forward.
• Experience with CRM (Salesforce) & ERP (Peoplesoft) systems data.