Manager, IT – Data Engineering

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Dayforce

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🏢 Enterprise

💰 $1G Post-IPO Debt - Dayforce on 2024-03

HR Tech • SaaS • Enterprise

Dayforce is a cloud-based human capital management (HCM) platform offering integrated payroll, HR, benefits administration, workforce management, and talent management capabilities. It is designed for employers to manage the full employee lifecycle in a single SaaS application, with features for payroll processing, time and attendance, scheduling, recruiting, and performance management.

📋 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. • Responsible for intimately overseeing data engineering activities related to development (SDLC) and release management. • Drive day-to-day maintenance and upkeep of existing code base and ETL solutions and manage resources who provide nightly support for ETL runs. • Accountable for continuing performance management, delegation of tasks and accountability, mentorship, and growth of data engineering resources on the team. • 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. • Have deep understanding 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.

🎯 Requirements

• 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. Being able to select talent and conduct interviews to find right fit for the role. • Experience organizing effective ETL night support function for business continuity. Acting as escalation point for after business hours and weekend emergencies. • 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. Be able to create technical and business collateral like power points and architecture diagrams. • 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.

🏖️ Benefits

• Health insurance • Retirement plans • Flexible work arrangements • Professional development • Mentorship