IT Cloud Data Integration Architect
About The Position
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. Drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment. Design scalable ingestion processes to bring on-prem, API drive, 3rd party, end user generated data sources to integrate in 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 Provide technical expertise and ownership in the diagnosis and resolution of an issue, including the determination and provision of workaround solution or escalation to service owners Build processes supporting data transformation, data structures, metadata, dependency and workload management. Ensure delivered solutions meet/perform to technical and functional/non-functional requirements. Ensure delivered solutions are realized in time frame committed; work in conjunction with project sponsors to size and manage scope and risk. Maintain overall industry knowledge on latest trends, technologies, etc.
Requirements
- 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
- Bachelor's Degree in Computer Science or related field.
Nice To Haves
- Experience with healthcare data systems and data models is a plus.
Responsibilities
- 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.
- Drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment.
- Design scalable ingestion processes to bring on-prem, API drive, 3rd party, end user generated data sources to integrate in 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
- Provide technical expertise and ownership in the diagnosis and resolution of an issue, including the determination and provision of workaround solution or escalation to service owners
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Ensure delivered solutions meet/perform to technical and functional/non-functional requirements.
- Ensure delivered solutions are realized in time frame committed; work in conjunction with project sponsors to size and manage scope and risk.
- Maintain overall industry knowledge on latest trends, technologies, etc.
Benefits
- Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more – so you can live fully at and away from work, including:
- Compensation Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training Premium pay such as shift, on call, and more based on a teammate's job Incentive pay for select positions Opportunity for annual increases based on performance
- Benefits and more Paid Time Off programs Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability Flexible Spending Accounts for eligible health care and dependent care expenses Family benefits such as adoption assistance and paid parental leave Defined contribution retirement plans with employer match and other financial wellness programs Educational Assistance Program
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
