Manager, It Data Engineering - L'oreal Information Technology

Job Title: Manager, IT Data Engineer
Division: Information Technology – Data
Location: Hudson Yards, NYC
Who We Are
For more than a century, L’Oréal has devoted its energy, innovation, and scientific excellence solely to one business: Beauty. Our goal is to offer each and every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity.
At L'Oréal, our IT teams design and build solutions to ensure high performance for all our business sectors by imagining new ways of doing things, from designing websites to building algorithms and predicting new trends. They can be found leading teams towards a more connected and digitalized future in IT retail, e-commerce, CRM, data, AI, cybersecurity, Cloud and E-Marketing. You never stop learning at L'Oréal IT because things change at the speed of light! Come join our dynamic team!
What You Will Learn
At L'Oréal, our ambition is to become the #1 BeautyTech company, meaning inventing the beauty of the future while becoming the company of the future. The role will be responsible for a Senior Data Engineer across broad portfolio of applications with Digital Marketing, CRM, eCommerce and enterprise data assets. The role sits with the Data & Analytics group, It is a critical role to enable the future of Omni Retail products and the seamless integration of data and analytical solutions across platforms. This role will provide leadership via mentoring and partnership with other architects and data stewards in the organization. As part of our Digital Transformation roadmap, we are designing and implementing the next generation of advanced and flexible tech products to enable business growth across multi-channel commerce and marketing by leveraging a thorough understanding of 1P/3P selling and optimization of aspects like Order Management, Media, content management and Supply Chain. The individual in this role must demonstrate creatively, foresight and mature judgement as they anticipate and solve complex business problems. The position is challenged to identify problems quickly and correctly which otherwise elude. Projects typically would include multiple application solutions, multiple digital technologies across various architectures. The person in the role will solve the problems with the best course of action within the departmental guidelines from existing solutions and works independently. The individual communicates for needed investments and architectural changes or business needs is critical to ensure solutions can be created to meet the strategic business capability needs.

• Provide thought leadership and new perspectives on how to leverage GCP cloud services and capabilities.
• Initiate and deliver strategic roadmaps and gain commitment for enterprise level architecture
• Perform role of counselor and coach; provide input and guidance into the resourcing process; actively participate in hiring and retention activities.
• Creates robust and automated pipelines in GCP to ingest and process structured and unstructured data from source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset and DBT.
• Understand business priorities and success measures to design and implement the right data solutions.
• Have a strong hand on experience in Data Engineering and displays eminence in modern data architectures across the organization.
• Be instrumental in growing and mentoring a pool of talented Data Transformation practitioners.
• Maintain technical skills and knowledge of market trends and competitive insights; collaborate and share with the technical community.
• Collaborate with data architects, ETL developers, engineers, BI developers/data scientists, and information designers to identify and define required data structures, formats, pipelines, metadata, and workload orchestration capabilities.
• Lead architecture design, define and implement end-to-end modern data platforms in support of AI and analytics use cases.

Required Qualifications
What We Are Looking For:

• Bachelor's Degree or higher in STEM areas such as Computer Science, Information Management, Big Data & Analytics, or equivalent work experience.
• Needs to have worked with software configuration management environments and tools such as JIRA, Git, Jenkins, Bitbucket, Confluence
• 3+ years of experience in architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads.
• Familiarity with Data Analytics products such as Power BI, tableau and Looker
• Strong understanding of Agile SDLC implementation in public cloud eco systems including environment management, test automation, CI/CD, resource optimization
• 3+ years of experience in providing technical leadership from design to implementation of creative data solutions involving GCP (Big query, data flow, data proc, pub/sub, spark/PySpark, python, SQL etc.)
• Knowledge of GCP services is a + (BQ, DataFlow, Cloud Functions, Cloud Run, GCS)
• 2+ years of experience in analytics/data management strategy formulation, architectural blueprinting, business case development and effort estimation of disruptor based analytics on GCP.
• 5-7+ years of overall experience in product and/or data architecture, data engineering.

Preferred Qualifications:

• You will be mentored by seniors to grow your practice and autonomy.
• Ability to teach/coach/mentor others virtually and in-person, especially on GCP data and analytics services
• GCP Data Engineering or Cloud Architect Certification
• You are missing some hard skills? It's ok.
• This job will rapidly move to Lead responsibilities.
• Background in CPG/Retail or eCommerce background
• Full stack development a plus

What’s In It For You

• Flexible Time Off (Paid Company Holidays, Paid Vacation, Vacation Buy Program, Volunteer Time, Summer Fridays & More!)
• Salary Range: $98,000-$137,500 (The actual compensation will depend on a variety of job-related factors which may include geographic location, work experience, education, and skill level)
• Hybrid Work Policy (3 Days in Office, 2 Days Work from Home)
• Employee Resource Groups (Think Tanks and Innovation Squads)
• Access to Mental Health & Wellness Programs
• Access to Company Perks (VIP Access to L’Oréal’s Internal Shop for Discounted Products, Monthly Mobile Allowance)
• Competitive Benefit Package (Medical, Dental, Vision, 401K, Pension Plan)
• Learning & Development Opportunities for Career Progression (Unlimited Access to E-learnings, Lunch & Learn Sessions, Mentorship Programs, & More!)

Don’t meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles!
We are an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting [email protected]. If you need assistance to accommodate a disability, you may request an accommodation at any time. 
Our Safe Together Plan: Your safety is our highest priority. We will proceed with caution and adhere to enhanced protection standards to ensure our sites are safe for all employees. We must all operate with the shared responsibility for each other’s health & safety in mind.

LI_USA_CORP