Forward Deployed Architect
NVIDIA
Cloud Data Integration Architect
Advocate Aurora Health
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteSalary
💰 $62 - $93 per hour
Job Level
SeniorLead
Tech Stack
AirflowCloudPythonSQL
About the role
- Develop solutions architecture and evaluate architectural alternatives.
- Define and articulate an integration strategy, architecture, design patterns, and standards.
- Drive scope definition, requirements analysis, data and technical design, pipeline build, product configuration, unit testing, and production deployment.
- Introduce new integration solutions from design to rollout.
- Design scalable ingestion processes to bring on-prem, API driven, 3rd party, end user generated data sources into common cloud infrastructure.
- Design reusable assets, components, standards, frameworks, and processes to accelerate and facilitate data integration projects.
- Provide technical leadership and guidance to development teams, ensuring best practices in data integration.
- Diagnose and resolve issues, provide workarounds or escalate to service owners.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Ensure delivered solutions meet functional and non-functional requirements and committed timeframes.
- Maintain overall industry knowledge on latest trends and technologies.
Requirements
- Bachelor's Degree in Computer Science or related field.
- Typically requires 7 years of experience in at least two IT disciplines, including technical architecture, application development, middleware, database management or operations.
- Capable of communicating and presenting complex information to technical and nontechnical stakeholders.
- Experience in developing and producing Integration and Technical Architecture Documents to include Requirements, Conceptual Technical Models, Platform, Performance and Operational Requirements
- Experience defining, designing, and developing solutions with cloud data integration platforms/tools
- Proven experience building and optimizing data pipelines, and data sets.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Hands-on experience working with cloud based modern ELT tools and technologies like Fivetran, HVR, dbt, Airflow etc.
- Proficiency in Python and SQL for scripting and building data transformation processes is preferred.
- Experience in test automation with a focus on testing integrations, including APIs and data flows between enterprise systems.
- Must have experience end-to-end implementation of cloud data warehouse solutions
- Must have experience with DevOps tool chains and processes.
- Must have hands-on experience with Snowflake Data Cloud.
- Must have experience of Agile development methodologies
- Experience with healthcare data systems and data models is a plus.
