ADP · 1 day ago
Lead Data Engineer
ADP is a comprehensive global provider of cloud-based human capital management solutions. They are seeking a Lead Data Engineer to design and deliver a data hub aimed at providing curated client service data to internal users, while collaborating with various teams to ensure data integration and quality.
Bookkeeping and PayrollConsultingHuman ResourcesOutsourcingPaymentsSoftware
Responsibilities
Spearhead the design and delivery of a data hub/marketplace aimed at providing curated client service data to internal data consumers, including analysts, data scientists, analytic content authors, downstream applications, and data warehouses
Develop a service data hub solution that enables internal data consumers to create and maintain data integration workflows, manage subscriptions, and access content to understand data meaning and lineage
Design and maintain enterprise data models for contact center-oriented data lakes, warehouses, and analytic models (relational, OLAP/dimensional, columnar, etc.)
Collaborate with source system owners to define integration rules and data acquisition options (streaming, replication, batch, etc.)
Work with data engineers to define workflows and data quality monitors
Perform detailed data analysis to understand the content and viability of data sources to meet desired use cases and help define and maintain enterprise data taxonomy and data catalog
Define and design complex data integration solutions with general direction and stakeholder access
Work independently and as part of a global, multi-faceted data warehousing and analytics team
Have advanced knowledge of cloud-based data engineering and data warehousing solutions, especially AWS, Databricks, and/or Snowflake
Be highly skilled in RDBMS platforms such as Oracle, SQLServer
Be familiar with NoSQL DB platforms like MongoDB
Understand data modeling and data engineering, including SQL and Python
Have a strong understanding of data quality, compliance, governance and security
Be proficient in languages such as Python, SQL, and PySpark
Have experience in building data ingestion pipelines for structured and unstructured data for storage and optimal retrieval
Be able to design and develop scalable data pipelines
Have knowledge of cloud-based and on-prem contact center technologies such as Salesforce.com, ServiceNow, Oracle CRM, Genesys Cloud, Genesys InfoMart, Calabrio Voice Recording, Nuance Voice Biometrics, IBM Chatbot, etc
Have experience with code repository and project tools such as GitHub, JIRA, and Confluence
Have working experience with CI/CD (Continuous Integration & Continuous Deployment) process, with hands-on expertise in Jenkins, Terraform, Splunk, and Dynatrace
Be highly innovative with an aptitude for foresight, systems thinking, and design thinking, with a bias towards simplifying processes
Be detail-oriented with strong analytical, problem-solving, and organizational skills
Be able to clearly communicate with both technical and business teams
Have knowledge of Informatica PowerCenter, Data Quality, and Data Catalog is a plus
Have knowledge of Agile development methodologies is a plus
Having a Databricks data engineer associate certification is a plus but not mandatory
Qualification
Required
Ability to define and design complex data integration solutions with general direction and stakeholder access
Capability to work independently and as part of a global, multi-faceted data warehousing and analytics team
Advanced knowledge of cloud-based data engineering and data warehousing solutions, especially AWS, Databricks, and/or Snowflake
Highly skilled in RDBMS platforms such as Oracle, SQLServer
Familiarity with NoSQL DB platforms like MongoDB
Understanding of data modeling and data engineering, including SQL and Python
Strong understanding of data quality, compliance, governance and security
Proficiency in languages such as Python, SQL, and PySpark
Experience in building data ingestion pipelines for structured and unstructured data for storage and optimal retrieval
Ability to design and develop scalable data pipelines
Knowledge of cloud-based and on-prem contact center technologies such as Salesforce.com, ServiceNow, Oracle CRM, Genesys Cloud, Genesys InfoMart, Calabrio Voice Recording, Nuance Voice Biometrics, IBM Chatbot, etc
Experience with code repository and project tools such as GitHub, JIRA, and Confluence
Working experience with CI/CD (Continuous Integration & Continuous Deployment) process, with hands-on expertise in Jenkins, Terraform, Splunk, and Dynatrace
Highly innovative with an aptitude for foresight, systems thinking, and design thinking, with a bias towards simplifying processes
Detail-oriented with strong analytical, problem-solving, and organizational skills
Ability to clearly communicate with both technical and business teams
Bachelor's degree in computer science, information technology, or a similar field
8+ years of experience integrating and transforming contact center data into standard, consumption-ready data sets incorporating standardized KPIs, supporting metrics, attributes, and enterprise hierarchies
Expertise in designing and deploying data integration solutions using web services with client-driven workflows and subscription features
Knowledge of mathematical foundations and statistical analysis
Strong interpersonal skills
Excellent communication and presentation skills
Advanced troubleshooting skills
Preferred
Knowledge of Informatica PowerCenter, Data Quality, and Data Catalog
Knowledge of Agile development methodologies
Having a Databricks data engineer associate certification
Benefits
ADP's Philanthropic Foundation
Company
ADP
ADP provides business outsourcing solutions that facilitate businesses in HR, payroll, and administration processes.
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
Recent News
Business Wire
2025-12-17
MarketScreener
2025-12-17
2025-12-16
Company data provided by crunchbase