
501 - 1000 employees
Founded 1982
đŒ Consulting
đ„ Healthcare
đĄïž Insurance
Consulting âą Healthcare âą Insurance
AIS (Applied Information Sciences) is a mission-focused and outcome-oriented organization that specializes in AI and automation, cloud adoption, application innovation, and data and analytics. As a leading Microsoft partner, AIS helps transform businesses and solve complex problems with its expertise in cloud solutions, infrastructure, and application development. They cater to various industries, including commercial, financial services and insurance, healthcare and life sciences, energy and utilities, and government sectors. With their advanced data solutions and cloud capabilities, AIS guides businesses in their digital transformation journeys while improving productivity and unlocking new opportunities for growth.
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501 - 1000 employees
Founded 1982
đŒ Consulting
đ„ Healthcare
đĄïž Insurance
Consulting âą Healthcare âą Insurance
AIS (Applied Information Sciences) is a mission-focused and outcome-oriented organization that specializes in AI and automation, cloud adoption, application innovation, and data and analytics. As a leading Microsoft partner, AIS helps transform businesses and solve complex problems with its expertise in cloud solutions, infrastructure, and application development. They cater to various industries, including commercial, financial services and insurance, healthcare and life sciences, energy and utilities, and government sectors. With their advanced data solutions and cloud capabilities, AIS guides businesses in their digital transformation journeys while improving productivity and unlocking new opportunities for growth.
âą Define and govern the overall EDW Foundry architecture, including Silver, Gold, and Platinum data layers âą Lead enterprise dimensional modeling initiatives, including conformed dimensions, business data products, and bus matrix strategy âą Establish and enforce standards for data governance, metadata management, data quality, validation, lineage, and data promotion âą Provide architectural leadership for Snowflake, DBT, Airflow, metadata platforms, and modernization initiatives âą Define AI-assisted development standards, engineering patterns, and delivery frameworks âą Develop enterprise architecture roadmaps for data platform modernization and cloud transformation âą Design conceptual, logical, and physical data models for reporting, analytics, and operational use cases âą Translate business and technical requirements into scalable, maintainable data solutions âą Establish best practices for DataOps, DevOps, CI/CD, and automated deployment âą Lead architecture reviews, technical design sessions, and modernization planning âą Evaluate emerging technologies and recommend solutions to improve performance and scalability âą Provide technical oversight, mentorship, and architectural direction to data engineering teams âą Support project planning, roadmap development, estimation, and executive stakeholder engagements âą Provide technical leadership for the EDW Foundry modernization program and partner with stakeholders and delivery teams
âą Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related technical discipline âą 12+ years of experience in Data Architecture, Data Engineering, Data Warehousing, Business Intelligence, or related fields âą 7+ years designing and leading enterprise-scale data architecture and modernization initiatives âą Extensive experience designing and implementing enterprise data warehouse solutions âą Deep expertise in dimensional modeling, including star schemas, conformed dimensions, and Kimball-based architectures âą Experience defining governance frameworks, metadata standards, data lineage, and data quality strategies âą Experience designing cloud-native data platforms and modern lakehouse architectures âą Strong knowledge of Snowflake architecture, data modeling, performance optimization, and enterprise implementation âą Experience with DBT and modern ELT frameworks âą Hands-on experience designing and implementing data integration and transformation pipelines âą Strong SQL development and optimization skills âą Experience developing architecture roadmaps and technical standards âą Knowledge of Agile methodologies, SDLC processes, and large-scale technology delivery programs âą Ability to lead cross-functional teams and mentor engineers, architects, and analysts âą Experience communicating technical concepts to executive and non-technical stakeholders âą Ability to translate complex business requirements into scalable enterprise data solutions âą Preferred experience with Snowflake administration, Airflow, Data Mesh, Medallion Architecture, Microsoft Fabric, Azure data services, Kafka, CDC, metadata platforms, AWS data services, AI-assisted development, DataOps, DevOps, CI/CD, Python, BI platforms, cloud migration, POCs, and regulated or large-enterprise environments âą Professional certifications listed as preferred include Microsoft Azure Data Engineer Associate, Azure Solutions Architect Expert, Snowflake Certification, AWS certifications, PMP, SAFe, and Certified Scrum Product Owner
âą Employee ownership âą Continuous learning resources, training, and mentorship âą Inclusive culture âą Mission-driven work âą Competitive salaries âą Qualified overtime âą Paid Time Off (PTO) âą Flexible Holiday Leave (88 hours per year) âą Parental Leave âą Medical, Dental, Vision, and Life Insurance âą Employee Stock Ownership Plan (ESOP) âą 401(k) Retirement Plan with 5% match on base compensation and immediate 100% vesting âą Tuition Reimbursement & Learning Allowance âą Referral Bonus Program (up to $5k)
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