As a Data Solutions Engineer, 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 be responsible for designing, developing, and implementing data solutions for initiatives and use-cases aligned with our Data Governance Program domain and core Workstream efforts. You’ll work closely with our partners to ensure that our data is structured in a way that supports our organization’s goals through providing value by solving data challenges. This role requires a blend of authoritative knowledge in data governance, broad technical experience in data engineering & architecture, and leadership skills that will inspire collaboration among our partners.

• Collaborate with our partners to understand their data challenges, data requirements, and aligned business initiatives

• Create diagrams and other supporting artifacts for data solutions work that clarifies how data is stored, transformed, integrated, and accessed across the organization to better support the business evolving data needs

• Contribute to data policies and standards to align with business objectives and technological capabilities

• Contribute to solution data models that define how data will be stored, processed, and accessed

• Ensure data solutions delivered include taking full advantage of aligned Data Governance tooling, processes, and stewardship model

• Build and expand on existing Data Governance tooling and frameworks as data solutions are delivered are integrated

• Contribute to 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

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

• Take ownership for achieving objectives and defining the roadmap for how data will be utilized

• 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

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

• At least 3 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 3 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.

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

• Data querying skills, including SQL

• 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

• 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. 

• 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.