Sr Lead Analytical Data Engineer

ADP is hiring a Sr. Lead Analytical Data Engineer for our newly formed HR Outsourcing (HRO) Data and Analytics organization. The Sr. Lead Analytical Data Engineer will play a key role in growing our newest chapter of analytics engineering professionals while interacting with cross-functional teams to address complex business requirements. We're seeking a value seeking, self-motivated, and analytical profession who act as a player and coach to multiple workstreams at the same time. The role demands the individual to possess technical skills required to perform the job in an effective manner. The right candidate will be a technical expert, should have the passion for data & analytics and works along with the team they manage.

What are we looking for?

An analytics and data engineering professional with a passion and track record for designing analytics and delivery methods to increase accuracy of reporting and advanced analytics in an agile environment to unlock transformational growth. Someone with intellectual curiosity who wakes up excited to work with a team towards excellence and partner with leaders to drive business outcomes and deliver analytical solutions. The ideal candidate is business-minded, customer-centric, team-oriented, self-motivated, a strategic thinker and results-driven.

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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth culture that welcomes ideas, encourages innovation, and values belonging. ADP has a deep commitment to diversity, equity, and inclusion as a global Best Places to Work, DiversityInc Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more. Learn more about ADP's commitment on our YouTube channel:

WHAT YOU'LL DO:

Behaviors:
•   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 is 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. Responsibilities:
•   Strategic Data Solution Development: Support the development of data solutions with a strategic outlook, focusing on the broader scope of building and enhancing domains within the semantic layer of HRO - a data modeler.
•   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 execute project plans within a fast-paced agile development environment.
•   Data Engineering Expertise: Create 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: Assist the team in prioritizing Business Needs, Leadership Questions, and Ad Hoc Requests to ensure on-time delivery and alignment with organizational goals.
•   Quality Assurance: Take the lead in driving 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. To succeed in this role:
•   Educational Background: Possess a bachelor's degree in computer science, engineering, business, statistics, or related fields; advanced degrees are preferred but not mandatory.
•   Experience: Demonstrate a strong foundation in data analytics, engineering, and project management with a minimum of 10 years of hands-on experience in the implementation, development, improvement, and support of data-related projects.
•   Matrix Organization Experience: 3+ years of experience working in a matrix organization, where you have a product/pod leadership directing the team to achieve use case goals.
•   Data Expertise: Exhibit deep experience with ETL (Extract, Transform, Load), Data Modeling, and Data Architecture, highlighting your ability to design and maintain data solutions.
•   Problem-Solving Aptitude: Prove your ability to lead a team in leveraging data, analytics, and business acumen to address intricate business challenges.
•   Data Platform Experience: Possess hands-on experience with DataBricks, and technologies such as Hadoop, Spark. Demonstrate expertise in managing data housed in various relational databases.
•   Data Pipeline Proficiency: Showcase your competence in building data pipelines and deploying/maintaining them using tools like Git and Jenkins.
•   MLOps and Containerization Knowledge: Familiarity with MLOps infrastructure (e.g., Databricks, MLflow) and containerization, including experience in managing production pipelines and microservices using technologies like Docker and Kubernetes.
•   Data Analytics Skills: Demonstrate experience and expertise in data mining methods, data modeling, and working with data warehouses, showcasing your ability to extract valuable insights.
•   Technical Skills: Exhibit mastery in Pyspark and SQL, as well as an understanding of agile methodologies and the key factors that contribute to a team's success. Preferred Qualifications
•   Proficiency in DataBricks: 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 : AWS certification is highly desirable, reflecting your expertise in cloud technologies and services.
•   Framework Development : Experience in developing frameworks and utility services, including logging/monitoring is an asset, demonstrating your ability to create efficient and scalable solutions.
•   Programming Skills : Proficiency in UNIX and the Python programming language is essential, as it is fundamental for data engineering tasks.
•   Software Development Best Practices : 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.
•   Data Storage Solutions : 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.
•   NoSQL Databases : Knowledge of NoSQL databases like MongoDB, HBase, Cassandra, etc., is a plus, highlighting your familiarity with a range of data storage technologies.
•   Project Management Tools . click apply for full job details