ADP · 2 hours ago
Lead Analytical Data Engineer
Miami, FL
Full-time
Hybrid
Lead/Staff
8+ years expADP is a global leader in HR technology, offering innovative solutions in payroll and analytics. The Lead Analytical Data Engineer will be instrumental in advancing the analytics engineering team and collaborating with various stakeholders to develop strategic data solutions.
Bookkeeping and PayrollConsultingHuman ResourcesOutsourcingPaymentsSoftware
Responsibilities
Support the enhancement of data workstreams. As a seasoned data engineer, you strive to contribute to the growth of the team and your own skills. You actively seek opportunities to share your knowledge and collaborate effectively with your colleagues to maintain a high level of productivity
Customer-focused. You align data strategies with business objectives, working closely with key stakeholders in business and analytics functions to help them leverage data for added value. Your role involves facilitating data access for data science and business intelligence applications
Effective Communicator. You possess strong communication skills, both written and verbal, enabling you to convey data-related information to various team members and leadership. Your ability to articulate working plans and priorities within the team is an asset
Deliver Results. You are proactive and hands-on, addressing potential issues and ensuring that tasks are completed with attention to detail. The end product you and your team produce are of high quality and thoroughly polished
Your daily tasks are versatile and can include interactions with the Chief Data Officer, participating in leadership meetings to discuss upcoming initiatives, and assisting your team in overcoming obstacles
Continuous Improvement. You are committed to documenting existing analytics and automation processes and suggesting and implementing best practices to enhance efficiency and optimization
Problem Solving. You are ready to tackle challenges as they arise and find effective solutions to overcome them
Strategic Data Solution Development: Be the primary contributor to the development of data solutions with a strategic outlook, focusing on projects with high returns for HRO
Documentation and Best Practices: Catalog existing analytics and automation processes and provide recommendations for best practice methods to optimize and improve these processes
Collaborative Stakeholder Engagement: Collaborate closely with Strategic Pod Operations, Data Science, Business Intelligence, and Senior Leadership to create comprehensive roadmaps and execute project plans within a fast-paced agile development environment
Data Engineering Expertise: Lead and create the development of data tables tailored to specific use-cases by skillfully engineering critical elements from multiple data domains. Ensure the ingestion of HRO-specific data is well-structured, compliant with data quality standards, and traceable from the consumption layer back to the raw data layer
Strategic Integration and Security: Partner with the Data Operations, Data Governance and Strategic Pod Operations teams to streamline data integration, maintain data security, and access best practices. Contribute to the creation of end-to-end data analytics solutions
Technological Advancement: Conduct thorough research to identify and recommend cutting-edge technologies and processes that support rapid scaling and future growth initiatives
Prioritization and Delivery: Spearhead the prioritization of Business Needs, Leadership Questions, and Ad Hoc Requests to ensure on-time delivery and alignment with organizational goals
Quality Assurance: Drive the quality assurance and data quality efforts to enhance development timelines, reduce bugs, and maintain the reliability of our analytics products
Iterative Development: Bring your experience in developing v0.5 solutions, incorporating real-world feedback, and iterating to v1.0+ with a continuous improvement mindset
Exceptional Delivery: Leverage your successful track record of superior delivery and change management within an enterprise organization to drive positive change and growth
Qualification
Required
Possess a bachelor's degree in computer science, engineering, business, statistics, or related fields; advanced degrees are preferred but not mandatory
Demonstrate a strong foundation in data analytics, engineering, and project management with a minimum of 8+ years of hands-on experience in the implementation, development, improvement, and support of data-related projects
Showcase 8+ year of experience working in a matrix organization, where you directed the development team to achieve use case goals
Exhibit deep experience with ETL (Extract, Transform, Load), Data Modeling, and Data Architecture, highlighting your ability to design and maintain data solutions
Prove your ability to lead a team in leveraging data, analytics, and business acumen to address intricate business challenges
Possess hands-on experience in designing and maintaining data warehouses and/or data lakes using big data technologies such as Hadoop, Spark, and especially DataBricks. Demonstrate expertise in managing data housed in various relational databases
Showcase your expert competence in building data pipelines and deploying/maintaining them using tools like Git and Jenkins
Demonstrate experience and expertise in data mining methods, data modeling, and working with data warehouses, showcasing your ability to extract valuable insights
Preferred
Hands-on experience and strong technical knowledge with DataBricks, particularly focusing on Apache Spark fundamentals, including Spark Architecture, its API's, and how to leverage it for data processing and analysis. Proficiency in PySpark/Python/SQL is essential for data manipulation, analysis, and transformation
AWS certification is highly desirable, reflecting your expertise in cloud technologies and services
Experience in developing frameworks and utility services, including logging/monitoring is an asset, demonstrating your ability to create efficient and scalable solutions
Proficiency in UNIX and the Python programming language is essential, as it is fundamental for data engineering tasks
Proven experience in delivering high-quality software following continuous delivery practices and using code quality tools such as JIRA, GitHub, and Jenkins is a strong advantage
Comfort with a variety of data storage solutions, including RDBMS (e.g., Oracle), Hive, HBase, Impala, and other options, showcases your versatility in handling different data storage needs
Knowledge of NoSQL databases like MongoDB, HBase, Cassandra, etc., is a plus, highlighting your familiarity with a range of data storage technologies
Familiarity with Jira and Confluence is preferred, as it facilitates effective project management and documentation
While not mandatory, experience as a data solutions architect is considered a significant advantage, demonstrating your ability to design comprehensive data solutions
Experience with cloud database technologies, especially in the AWS environment, and the ability to develop solutions on cloud computing services and infrastructure in the data and analytics space is a valuable skill set
Comfort with using PySpark APIs to perform advanced data transformations is a key technical requirement
Familiarity with MLOps infrastructure (e.g., Databricks, MLflow) and containerization, including experience in managing production pipelines and microservices using technologies like Docker and Kubernetes
Benefits
ADP's Philanthropic Foundation
Company
ADP
ADP provides business outsourcing solutions that facilitate businesses in HR, payroll, and administration processes.
10001+ employees
H1B Sponsorship
ADP has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (531)
2024 (386)
2023 (340)
2022 (523)
2021 (342)
2020 (353)
Funding
Current Stage
Public CompanyTotal Funding
$17.1B2025-06-27Post Ipo Debt· $7.05B
2025-05-06Post Ipo Debt· $1B
2024-09-05Post Ipo Debt· $1B
Leadership Team
Carlos Rodriguez
President & Chief Executive Officer
Maria Black
President and CEO
Recent News
2026-01-22
GlobeNewswire
2026-01-20
Business Wire
2026-01-16
Company data provided by crunchbase