Allergan Data Labs

Principal Enterprise Data Architect

Remote
USD 145k - 275k
GCP Microservices API Streaming SQL Machine Learning AWS Azure
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Description

Allergan Data Labs is on a mission to transform the Allergan Aesthetics beauty business at AbbVie, one of the largest pharmaceutical companies in the world. Our iconic brands include BOTOX® Cosmetic, CoolSculpting®, JUVÉDERM® and more. The medical aesthetics business is ripe for rapid growth and disruption, and we are looking to add to our high performing team to do just that. 

Our team has successfully launched a new and innovative technology platform, Allē, which serves millions of consumers, tens of thousands of aesthetics providers and thousands of colleagues throughout the US. Since its launch in November 2020, Allē has delivered curated promotions, personalized experiences and had millions of consumers use it as part of their beauty journey. 

We’re looking to add to our team as we prepare to launch a new array of game-changing technologies on our successfully adopted platform. If you’re interested in working within a startup-oriented environment, while having the backing of a very large company, please read on.

As a Principal Enterprise Data Architect, you will report to the Director of Data Governance, as well as continuously collaborate with key stakeholders across the business to solve the most important technical problems.

You will own our organization’s data strategy including operational data sources, analytical data sources, and other data systems to ensure that our data is structured in a way that supports our organization’s goals through standards and well defined data models enabling consistency and accessibility. This role requires a blend of authoritative knowledge in data governance, strong technical experience in data engineering & architecture, and leadership skills that will inspire collaboration among our partners.

Responsibilities

  • Define organization wide strategic technical roadmaps surrounding enterprise data

  • Lead with our partners to build & integrate technologies for Data Governance and other aspects of data management

  • Directly influence the organization technical direction based on business data needs

  • Responsible for making sound technical decisions that have broad impact on organizational data

  • Create/Manage diagrams and other supporting artifacts as a blueprint or framework that defines how data is stored, organized, integrated, and accessed across the organization to better support the business evolving data needs

  • Mentor and support team from a technical and strategic leadership perspective across Workstreams, technologies, and frameworks

  • Lead best-practices establishment of data policies and standards to align with business objectives and technological capabilities

  • Plan, prioritize, and deliver annual organization wide initiatives

  • Responsible for vendor supported Data Governance products and aligning the product capabilities with the organizational needs

  • Design and develop data models that define how data will be stored, processed, and accessed (conceptual, logical, and physical)

  • Ensure data from various systems can be combined/integrated and used seamlessly

  • Responsible for data security frameworks that align with regulatory compliances like HIPAA, GDPR, CCPA, PCI DSS

  • Optimize performance of our data systems to ensure that data can be accessed and processed efficiently

  • Guide partners on data migration needs encompassing crafting the plan and overseeing the transition process

  • Contribute to positive vendor relationships for tools & technologies that achieve federated governance, quality, and observability across multiple domains

  • Tightly and efficiently collaborate with partners across the entire organization in alignment with our business objectives

  • Conduct continuing industry research and identify best practices to incorporate into the Data Governance program

  • Take responsibility for personal development by seeking training, on-the-job experiences, and input from supervisor and peers

  • Maintain sharp professional knowledge, and stay abreast of new tools and developments in data management, regulatory frameworks, and data technologies

Required Experience & Skills

  • Cloud Solutions Architect Certified with emphasis on Data / Data Analytics / Data Engineer on AWS, Azure, or GCP

  • Experience with building solutions on AWS or equivalent public cloud platforms

  • Solid understanding of requirements for HIPAA, GDPR, CCPA, PCI DSS, and related regulatory frameworks

  • At least 10 years of experience working collaboratively with data-related teams such as data governance, data engineering, data science & analytics, software teams dealing primarily with data, DataOps, data infrastructure, or similar

  • Experience participating in the integration & operation of multiple data governance tools such as data catalogs, access controls, MDM, provenance, and observability

  • Strong interpersonal communication skills, relationship building skills, and the ability to influence others through persuasion

  • Because this role will benefit from technical experience to guide decisions:

    • BS, MS, or PhD in Computer Science, Engineering, other quantitative field

    • At least 10 years of prior experience as an individual contributor in data-related roles such as data engineer, data architect, data scientist/analyst, DataOps, or similar

    • Experience of data storage architectures such as relational & NoSQL databases, data warehouses, data lakes, and lakehouses

    • Experience & strong understanding of data flow architectures including microservices & APIs, ETL/ELT, streaming, messaging, etc.

    • Experience with not only architecture and designing data systems, but demonstrated experience in building services as well as resilient service delivery

  • Ability to work effectively from your remote location using modern collaborative tools running on a company-provided laptop

  • Data querying skills, including SQL

Preferred Experience & Skills

  • Experience setting up or contributing to governance in a data mesh environment across a large enterprise consisting of multiple domains offering data as products

  • Experience in the industries of healthcare or medical technologies

  • Familiarity with the principles & tools of Data Engineering, Data Science, DataOps, MLOps, and BI

  • Understanding of AI and machine learning, especially with regard to how it affects governance, quality, and regulatory requirements

  • Experience integrating 3rd-party data sources from marketplaces, brokers, and other sources

Our Core Values 

  • 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. 

Perks 

  • 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. 

  • Attend AWS Re:Invent in person (Las Vegas) or virtually each year for approved roles.

  • Tuition reimbursement. 

  • 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. 

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position.  Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range.  This range may be modified in the future.

  • We offer a comprehensive package of benefits including paid time off. (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

  • This job is eligible to participate in our short-term incentive programs.

  • This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
Compensation Range (Minimum - Maximum)
$145,000$275,500 USD

 

 

Allergan Data Labs
Allergan Data Labs
Information Technology Pharmaceutical Service Industry

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