HR Data Supervisor supervises the deployment and administration of operational processes used to deliver HR programs and projects. Collaborates with stakeholders to provide consultation, process design, and project management of HR program implementations and initiatives like compensation, benefits, performance management, or training. Being an HR Data Supervisor delivers scalable methodologies and tools to optimize HR operations and streamline core processes like onboarding, hiring, terminations, retirements, timekeeping, and others that make up the employment life-cycle. Oversees employee data management processes to ensure that data is secure and maintained consistent with company policies and privacy regulations and that required reporting and filings are delivered. Additionally, HR Data Supervisor evaluates, selects, and manages HR process outsourcing vendors and contracts. Typically requires a bachelor's degree. Typically reports to a manager or head of a unit/department. The HR Data Supervisor supervises a small group of para-professional staff in an organization characterized by highly transactional or repetitive processes. Contributes to the development of processes and procedures. To be an HR Data Supervisor typically requires 3 years experience in the related area as an individual contributor. Thorough knowledge of functional area under supervision. (Copyright 2024 Salary.com)
As a Lead Data Engineer, you will report to the Director, Data and Machine Learning, as well as continuously collaborate with key stakeholders across the business to solve the most important technical problems.
Take ownership for achieving objectives and key results for your team, allocate resources, oversee & own technical solutions, communicate schedule, status, and milestones
Lead and manage a small team of data engineers by setting goals, supervising work, providing guidance, evaluating performance, removing barriers, cultivating career development, and promoting job satisfaction
Collaborate with cross functional partners (Product Managers, Data Scientists, Machine Learning Engineers, Software Engineers, Business teams) to build data products
Develop, optimize, and maintain complex ETL processes for moving and transforming data
Champion code quality, reusability, scalability, security and help make strategic architecture decisions
Implement processes and tools to ensure data quality, enforce data governance policies and engineering best practices
Develop APIs and Microservices to expose and integrate data products with software systems
Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or other quantitative field
7 years of experience as a Data Engineer writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases)
2 years of leading a cross-functional team to deliver data projects, including 1 year of experience as a reporting manager of a small team
Strong programming skills in Python and understanding of core computer science principles
Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks
Knowledge of relational and dimensional data modeling concepts to build data products
Experience with data quality checks, data monitoring solutions
Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools
Experience with Git, CI/CD pipelines, Docker, Kubernetes
Experience with architecting solutions on AWS or equivalent public cloud platforms.
Experience with developing data APIs, Microservices and event driven systems to integrate data products
Strong interpersonal and verbal communication skills
Leadership experience and the ability to mentor and guide a team
Experience in assessing and implementing new data tools to enhance the data engineering stack
Knowledge of data mesh concepts
Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science
Knowledge of vector databases, knowledge graphs, and other approaches for organizing & storing information
Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools
Be Humble: You’re smart yet always interested in learning from others.
Work Transparently: You always deal in an honest, direct and transparent way.
Take Ownership: You embrace responsibility and find joy in having the answers.
Learn More: Through blog posts, newsletters, podcasts, video tutorials and meetups you regularly self-educate and improve your skill set.
Show Gratitude: You show appreciation and return kindness to those you work with.
Competitive salary.
Competitive annual bonus targets.
401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution.
RSU grants (Long Term Incentives) for approved roles.
Comprehensive medical, dental, vision and life insurance.
17 paid holidays per year, including 3 floating holidays.
Annual Paid Time Off (PTO), with separate sick days
12 weeks paid Parental Leave
Caregiver Leave
Adoption and Surrogacy Assistance Plan
Flexible workplace accommodations.
Free gym membership for those in our Irvine, CA WeWork office.
We celebrate our wins with opportunities to attend Lakers, Knicks, Anaheim Ducks, Anaheim Angels and NY Rangers games.
Opportunities to attend concerts, festivals and other live entertainment events in recognition of delivering great work.
Attend AWS Re:Invent in person (Las Vegas) or virtually each year.
Tuition reimbursement.
Attend a tech or marketing conference of your choice each year.
A MacBook Pro and accompanying hardware to do great work.
A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more.
Generous discounts on SkinMedica skin care products.
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