Senior Manager, Data Engineering (Remote)

Company Description

Job Description

The primary responsibility of the data engineering manager is to work with data engineering team driving the design, build, launching of new data models and data pipeliles utilizing modern data engineering standards, design patterns and practices. Their mission is to build high performing teams driving delivery, onboarding of new data and data quality for trusted data that is easy to access, understand, and derive value. The role requires forward thinking with a focus on transforming existing incumbent solutions into sustainable and scalable solutions on modern cloud data technology.

The data engineering manager will facilitate the adoption of modern data standards, engineering practices, devops, test driven development, and simplification of data engineering within the organization. They will work with engineering teams and architects to design solutions which meet enterprise standards.

Besides, the Data Engineering Manager will be responsible for identifying/promoting emerging technology trends in data engineering space to ensure the company is leveraging them when appropriate to increase efficiency, drive business agility, reduce costs, and drive value.

What Will You Be Doing? 

• Team up with our engineering and enterprise architecture teams to define and create data engineering principles, standards, and design patterns related to metadata management, data integration, data storage, data security, data modeling, data quality, and data access control
• Promote best practice and provide guidance to our Data Engineering and Data Science teams to facilitate the buildout of data products that drive business value
• Partner with the engineering and business teams to serve as an evangelist in promoting the use of event streams, cloud-based data solutions, Data Ownership, Data Stewardship, and self-service
• Support the migration of 1000+ integrations and data pipelines from diverse on-prem technologies to cloud-based integration tools and technology
• Collaborate with project portfolio management team and technology stakeholders on integrations solutions design ensuring data engineering standards and practices building scalable and flexible solution
• Partner with the infrastructure and security teams on data engineering, solutions design, centralized logging/monitoring, and transformation efforts to ensure proper scope, resources and costs allocated for needs
• Serve as an evangelist in promoting and adopting modern data engineering standards and practices across IT
• Ensure that all application development initiatives are well managed and delivered to meet expectations on functionality, timeliness, and cost.
• Lead and/or participate on technical user groups, task forces, and committees

What Do You Need To Bring? 

• Able to manage a team thru major/complex data transformation to event driven architecture (Kafka) and modern cloud data architecture (Azure, Databricks, Snowflake, Power BI)
• Provide leadership and management to build high-performing teams and continuously upskill team members to keep them current thru professional development programs
• Ability to prioritize personal and team responsibilities to meet organizational objectives
• Drive the cultural changes necessary to enable a continuous delivery model, modern data engineering standards, and foster a strong focus on automation and agile delivery methods.
• Willingness to learn new things and adapt quickly to a team and enterprise undergoing positive transformation
• High interpersonal skills to operate in a large, distributed, and diverse global technology team
• Success working as a technical leader in a large enterprise organization
• Sets team goals to ensure the success of the department in accordance with milestones developed by IT Senior Management
• Develop and retain high caliber data engineering talent
• Ability to foster a culture of transparency and a sense of purpose among the team and create clear accountabilities and metrics.
• Bachelor’s degree in Computer Science or related field and 10-15 years' experience in various roles of technical leadership within a large-scale organization
• Personal Attributes: Self-starter, Collaborative, Curious, Strong work ethic, Highly motivated, Team oriented
• Successfully led data engineering and delivery of complex business technology solutions into production that have achieved or surpassed business goals.
• Experience with modern data engineering development and design concepts; software development lifecycle; project management; advanced and systems administrati