Staff Data Architect
South San Francisco, CA or Dallas, TX
Applications have closed
Verily
Verily is an Alphabet precision health company that helps pharma and consumer health companies develop safe, effective treatments faster and enable patients, providers and payors to make better care decisionsWho We Are
Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.
Description
The Data Architect role is the definition of our most senior technical and business advisor. This individual embodies executive level qualities, leads the conversation and directs the execution of the engineering teams by combining both technical vision and business insight. The Enterprise Architect will be responsible for ensuring all business applications are built and deployed in a scalable, sustainable and reliable manner, ensuring interoperability and functionality that meets the needs of the business.
Responsibilities
- Build trusted advisory x-functional relationships and make recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution.
- Recommend and document migration paths, integration strategies, and application architectures required to successfully implement complete solutions using best practices. Drive the capturing, developing, and sharing of best practices internally and externally to scale expertise to accelerate implementation.
- Engage at senior technical stakeholder level with our business units providing a single technical point of technical contact for the business unit/s into the engineering delivery team.
- Provide deep, technical architecture and enterprise-wide subject matter expertise.
- Lead the technical relationship with our vendors, empowering them to drive a successful pilot or proof of concept. Influence vendors in driving toward business unit acceptance of the technical proposal, leading to a commercial agreement. Work directly with vendors during the migration phase to assure they have all the tools necessary to deliver a successful deployment.
Qualifications
Minimum Qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience as an enterprise architect in a cloud computing environment or in a large scale, complex customer-facing role.
- Excellent problem-solving, communication, presentation, and active listening skills.
- 7 years experience in collaborating with and managing SaaS vendors during large scale deployments.
Preferred Qualifications:
- Experience with implementing Cloud-Native Enterprise Applications at scale, from conception through full operational deployment.
- Broad product and solution knowledge of market trends in the business systems industry such as SFDC, Workday, Workspace, JIRA, Slack, etc.
- Ability to speak publicly and deliver technical presentations.
- Excellent problem-solving, communication, presentation, and active listening skills.
The US base salary range for this full-time position is $174,000 - $276,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
#LI-SR1
Why Join Us
Build What’s Vital.
At Verily, you are a part of something bigger. We are a diverse team of builders innovating at the intersection of health and technology—united by a shared spirit of curiosity, resilience and determination to make better health possible for all. This builder mindset means your fingerprints will be on the work that shapes the future of health.
Fulfilling our precision health purpose starts with the health of our Veeps, which is why we offer flexibility, resources, and competitive benefits to support you in your whole-person well being.
Our culture reflects the behaviors that stem from living our values every day in how we Innovate Healthcare and Technology, Gain Velocity as One Verily, and Respect Individuals. As One Verily, we uphold our collective accountability to sustain this culture and to create a VIBE (Verily’s Culture of Inclusion, Belonging, and Equitability) where all Veeps feel included, a sense of belonging, and have opportunities to grow.
If this sounds exciting to you, we would love to hear from you.
You can find out more about our company culture on our LinkedIn Company Page and Verily Careers page.
Tags: Architecture Engineering Jira STEM
Perks/benefits: Competitive pay Equity Health care Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Business Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs