Minimum qualifications:

• Bachelor's degree in Computer Science or equivalent practical experience.
• 9 years of experience coding with a general purpose programming language (i.e. Java, C/C++, Python).
• 5 years of experience in data architecture.
• Customer-facing experience translating technical concepts and solutions to non-technical and executive audiences.

Preferred qualifications:

• Experience with ontology or semantic systems (RDF(S)/OWL, SPARQL, the Semantic Web).
• Experience with Enterprise Architecture frameworks such as TOGAF, etc.
• Experience in data management and data governance.
• Ability to lead strategic initiatives.

About the job

gTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.

The gTech Data Strategy and Architecture team is responsible for building out data management, governance, and architecture practices to alleviate the data pain points felt across the Ads Support ecosystem.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

Responsibilities

• Work closely with lead architects to shape team priorities and gTech's Data Strategy and Architecture transformation roadmap.
• Maintain the gTech Business Glossary and mappings to data entities and attributes.
• Model the business architecture across gTech, including current architectural artifacts, a Business Capability Map and Business Process Models.
• Provide guidance to and work closely with the Global Taxonomy Lead to provide input on data governance, and the management of data quality, reference and master data, and metadata.
• Provide recommendations and input to the data analyst on data governance metrics and report improvements and opportunities.

Why join Stryker?

We are proud to be named one the World’s Best Workplaces and a Best Workplace for Diversity by Fortune Magazine! Learn more about our award-winning organization by visiting stryker.com

Our benefits include bonuses; commissions; healthcare; insurance benefits; retirement programs; stock based plans; paid time off plans; family and parenting leaves; tuition reimbursement; wellness programs; onsite fitness centers and cafeterias; discount purchase programs; and service and performance awards - not to mention various social and recreational activities.

Why engineering at Stryker?

At Stryker we are dedicated to improving lives, with a passion for researching and developing new medical device products. As an engineer at Stryker, you will be proud of the work that you will be doing, using cutting-edge technologies to make healthcare better. Here, you will work in a supportive culture with other incredibly talented and intelligent people, creating industry-leading medical technology products. You will also have growth opportunities as we have a culture that supports your personal and professional development.

Need another reason to apply? Check out these 8 reasons to join Stryker's engineering team: https://www.strykercareersblog.com/post/8-reasons-to-join-strykers-engineering-team

Who We Want

Curious learners. People who seek out cutting-edge research and information to expand and enhance their ability to develop new ideas into reality.

Dedicated Achievers. People who thrive in a fast-paced environment and will stop at nothing to ensure a project is complete and meets regulations and expectations.

Analytical problem solvers. People who go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues.

What You Will Do

The Principal Data Architect is responsible for driving the architecture of data and processes to meet business needs. In addition, the Principal Data Architect will lead the design, build, and management of the overall infrastructure and underlying data model that will deliver accurate, reliable data to the right place, in the right format, at the right time. This position will be part of the Data Engineering team and will bring strong quantitative skills, experience, and strategic vision to our data engineering capabilities. In this role, you will be engaged in projects that will ultimately use the data for advanced analytics techniques, such as optimization, forecasting, machine learning, predictive maintenance, dashboarding, reporting, and statistical analysis, to develop solutions that help deliver significant value to customers.

• Develop a comprehensive data architecture capable of supporting various data types (structured, semi-structured, unstructured) and analytics needs from reporting to machine learning.
• Visualize and design a high-level technical design and framework that can be easily broken down into lower levels of detail.
• Evaluate and implement a variety of data tools (Python, SQL, NoSQL, Data Factory, Databricks) on Azure to build ETLs and data models.
• Provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture
• Plan for production data pipelines and analytics solutions with tools like ETL for data products and research initiatives.
• Collaborate with business, product, and technology teams early in product lifecycle to influence end-to-end architecture, including functional and non-functional aspects.
• Create strategies for data transformations and analysis for clinical, image, device, wearable, and demographic data.
• Align with industry best practices to create new capabilities for data architecture/design.
• Participate with cross-disciplinary project teams of database engineers, data scientists and business subject-matter experts to implement solutions.

What You Will Need

• Bachelor’s degree from an accredited college/university in Computer Science, Computational Linguistics, Computer Engineering, or related fields
• Minimum 6+ years relevant work experience
• Minimum of 4 years of experience working with cloud-based solutions in Azure, AWS, GCP, or similar
• Proficiency in tools / languages such Python, Databricks, SQL (T-SQL, PL/SQL, Spark SQL), Data Factory
• Experience with Data Lakehouse strongly preferred
• Experience with ETL/ELT pipelines, data movement and data quality with Big Data, relational and dimensional modeling, and unstructured data stores
• In-depth knowledge of databases (SQL, NoSQL), data modeling, modern ETL processes (batch, lambda, delta) and distributed computing frameworks
• Experience in software development environments using Agile / SCRUM, and code management/versioning (e.g. git)