[Hiring] Manager, IT - Data Engineering @Builders FirstSource

Role Description

Manager, IT- Data Engineering role is focused on the core areas of:

• Development activities involving projects, enhancements, defects.
• Day-to-day operations to ensure business continuity, which also involves managing nightly support for ETL runs.
• Team building and performance management involving a team of data engineers.
• Lead and manage the team through the transition to cloud based future data platform.

This role will be responsible for intimately overseeing data engineering activities related to development (SDLC) and release management. These responsibilities require deep understanding of data design and solutioning and architecture. This role will also drive day-to-day maintenance and upkeep of existing code base and ETL solutions and managing resources who provide nightly support for ETL runs. Finally, Manager IT – Data Engineering will be accountable for continuing performance management, delegation of tasks and accountability, mentorship, and growth of data engineering resources on the team.

One key function of this role is liaising with downstream consumers of our data system as well as other technical teams who are either upstream (ERP source systems), downstream (consumer applications, reporting team, business analytics team) or simply provide underlying platform services (infrastructure) to Data Engineering practice.

This role is expected to have deep understanding of the various technical aspects of data systems like Data Lake, Operational Datastore, Data Marts and Warehouses as well as hands on familiarity with ERP data topics (customer, sales and invoicing, supplier etc.).

Having hands-on experience with cloud-based systems and technologies like Azure Subscriptions, Azure Databricks, Azure DevOps CICD in terms of development and day-to-day operations is critical to function in this role. Any exposure to Terraform is highly desirable. Azure and Databricks Certifications are highly desirable.

Qualifications

• Hands on expertise in Data systems (Data Lake, ODS, Data Marts, MDM) and attendant technology stack, involving RDBMS systems (SQL Server), ETL tools (SSIS), reporting tools (Power BI), File shares.
• Hands on experience with developing and managing cloud-based data platforms, on Azure leveraging key technologies like Azure Data Factory, Azure Databricks, Azure SQL, Azure DevOps CICD, Terraform.
• Hands on experience working with Azure DevOps and Jira boards and running agile standups and Kanban boards.
• Deep experience overseeing SDLC and release management processes and good documentation practices.
• People management skills like mentorship, guidance, performance management, upskilling, conflict resolution, delegation of tasks and overseeing the progress to completion.
• Experience organizing effective ETL night support function for business continuity.
• Ability to cultivate and effectively manage relationships with external and internal teams, downstream and upstream from Data Engineering practice.
• Great written and oral communication skills.
• Project management skills for coming up with accurate and realistic timelines and level of effort for effective resource utilization for projects, enhancements, and defect resolutions.
• Familiarity with ERP systems and underlying data topics spanning Customer, Products, Sales and Invoicing, Orders, Employee, SalesRep etc.
• Experience with SAP Basis is highly desirable.
• Ability to act as a stand in Techlead and provide solutioning and architectural guidance.
• Relevant certifications on Azure and/or Databricks ecosystem.
• Bachelor's degree from an accredited college/university.
• 7+ years relevant work experience.
• Or an equivalent combination of education and experience.

Requirements

• Leads small group of Data Engineers, follows defined operating model and framework to guide team’s processes.
• Defines scope for project and program opportunities and creates project plans, including resource needs and timelines.
• Accountable for delivery and execution of defined deliverables.
• Partners with senior team members on day-to-day operations including staffing and tracking project status; course corrects for shifting priorities.
• Leverages expertise to solve a range of strategic business problems through dynamic and complex analysis.
• Ensures data quality through proactive monitoring and review of security policies, governance, and data sovereignty.
• Manages the development, improvement and scaling of appropriate data architecture and pipelines to store, analyze and process high volume data sets.
• Collaborates with data scientist(s) to resolve business problems and recommend optimal data sources, methodologies, and analytic tools.
• Oversees writing of functional clean code and performs unit testing.
• Manages team in design of reporting and visualization tools for communicating data insights to organization/clients.
• Influences, persuades, and negotiates with mid to senior level management for successful implementation of data initiatives, prioritization, and resources allocation.

Benefits

• Medical, dental, vision, and disability insurance plans.
• 401(k) retirement savings plan.
• PTO (including paid sick time).
• 8 paid holidays per year (for salaried and hourly team members).