Design and build data ingestion and transformation pipelines, manage data storage and processing layers, and provide technical leadership to data engineers.
Responsibilities
Design and build data ingestion and transformation pipelines
Manage data storage and processing layers
Ensure data performance, reliability, and quality
Implement data engineering best practices and standards
Provide technical leadership and mentoring to data engineers
The Manager, Data Engineering provides technical, delivery, and team leadership for enterprise data engineering initiatives. This role owns architecture governance, solution design oversight, project planning, execution management, engineering excellence, and end-to-end delivery of scalable, secure, and AI-ready data solutions.
Responsibilities
Lead architecture and design reviews, and technical discussions for data engineering initiatives.
Define and drive engineering standards, design principles, reusable frameworks, and establish best practices.
Provide technical leadership across Azure Data Platform, ADF, Databricks, Lakehouse Architecture, Data Integration, and Analytics solutions.
Evaluate architectural alternatives and technology choices based on scalability, reliability, maintainability, security, and cost optimization.
Act as the senior technical escalation point for complex engineering challenges and critical delivery decisions.
Responsible for defining and executing the strategy for workforce data, analytics, reporting, AI, and data platforms across Human Resources. Building and operating scalable data products that enable business intelligence, workforce planning, data governance, and AI-powered employee experiences.
Compensation
A reasonable estimate of the base salary range this role is 128,000 USD - 189,000 USD.
Responsibilities
Define and execute the People Data & AI vision, roadmap, and multi-year strategy.
Serve as the HR Technology leader for workforce analytics, reporting, AI enablement, and data platforms.
Partner with HR executives to identify opportunities to improve business outcomes through data and AI.
Establish product and platform strategies that support evolving HR capabilities and employee experiences.
Build and mentor a high-performing team of data engineers, analytics professionals, and AI specialists.
Requirements
Master's degree in Information Systems, Data Science, Computer Science, Business, or related field
Senior business analyst focused on data and asset management, bridging the gap between business, operations, IT, and data for public lighting projects.
Responsibilities
Analyze processes and needs
Capture and structure requirements
Manage stakeholders
Translate analyses into concrete solution directions
Participate in projects regarding lighting system development, defect detection, and dynamic grid switching
Requirements
Nice to have: Experience in utility companies or asset-intensive environments
Lead the strategy, roadmap, and delivery of the LillyDirect Pharmacy Covered Entity Data Hub, bridging business, engineering, and compliance teams to deliver secure, scalable, and compliant pharmacy and healthcare data products.
Compensation
$129,000 - $189,200
Responsibilities
Own and lead the product vision, strategy, and roadmap for the LillyDirect Pharmacy Covered Entity Data Hub
Partner with business stakeholders to translate business goals into actionable product capabilities and technical requirements
Define quarterly and annual roadmaps aligned with business priorities, regulatory requirements, and enterprise data strategy
Prioritize initiatives, features, and technical debt using a value-driven approach
Maintain and prioritize the product backlog within Jira
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, Healthcare Informatics, or related field
Business Analyst focused on Financial Data, BI, and Reporting, bridging between business stakeholders and technical teams to build data-driven solutions.
Responsibilities
Collaborate with business stakeholders and product teams to elicit, analyze, document, validate, and prioritize business, data, reporting, dashboard, and analytics requirements.
Translate business requirements into functional requirements, user stories, use cases, acceptance criteria, process flows, and data/reporting specifications.
Analyze existing business processes, information flows, reporting solutions, KPIs, metrics, and dashboards to identify gaps and improvement opportunities.
Support the definition and validation of KPIs, business metrics, reporting logic, dashboard requirements, filters, drill-downs, visualization needs, and analytical requirements.
Work closely with Data Architects, Data Engineers, BI Developers, and application teams to ensure business requirements are accurately translated into data models, datasets, data transformations, reporting solutions, and analytical capabilities.
DCPS Applications Architect JourneymanNewRIZEUP TECHNOLOGY TRAINING LLC · Remote
Manager Data EngineeringQnity · Hyderabad, India
Businessanalist voor Data en Assetmanagement (Freelance mogelijk)EngiFlex · Melle, Belgium
Associate Director - Technical Data Product OwnerLilly · Indianapolis, US