Senior Data Solution Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Design comprehensive end-to-end architectures for enterprise data and AI solutions.

• Establish architecture patterns related to data ingestion, transformation, storage, analytics, machine learning, and generative AI use cases.

• Develop scalable and reusable architecture standards across various platforms and technologies.

• Lead technical assessments and provide recommendations concerning data, AI, and integration technologies.

• Contribute to the design and execution of enterprise-level data and AI solutions.

• Create prototypes, proofs of concept, and reference implementations.

• Collaborate with engineering teams to address complex technical challenges and eliminate delivery obstacles.

• Conduct hands-on architecture validation, solution reviews, and technical troubleshooting throughout the software delivery lifecycle.

• Provide architectural leadership across cloud platforms, data engineering, integration, automation, AI, and DevOps.

• Maintain practical expertise with Snowflake, Azure, Databricks, Microsoft Fabric, AI platforms, and integration frameworks.

• Oversee architectural aspects of strategic initiatives and significant technology investments.

• Facilitate design reviews to ensure compliance with enterprise architecture standards.

• Partner with engineering teams to translate architectural designs into actionable solutions.

• Establish governance frameworks for architecture in data and AI solutions.

• Ensure compliance with privacy, security, regulatory, and governance requirements.

• Define standards for data lineage, metadata management, model governance, and AI transparency.

• Identify and address architectural, operational, and cybersecurity risks.

• Maintain architecture documentation, reference models, and technical standards.

• Develop presentations and recommendations for executive-level architecture.

• Communicate technical concepts effectively to both technical and non-technical audiences.

• Present architecture roadmaps, risks, trade-offs, and investment recommendations.

• Provide updates on strategic initiatives, architecture reviews, and innovation opportunities.

• Create and implement a roadmap for AI-driven self-serve analytics.

• Enhance the adoption of enterprise data platforms and AI capabilities.

• Foster consistency and governance across data and analytics ecosystems.

• Demonstrate measurable business value derived from AI and advanced analytics initiatives.

• Reduce architectural complexity through standardization and modernization efforts.

• Build credibility with engineering teams through technical leadership and direct contributions to solution delivery.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field.

• A combination of education and relevant experience may be accepted.

• Over 10 years of experience in data architecture, enterprise architecture, analytics platforms, or software engineering.

• More than 3 years of experience in designing AI, machine learning, or advanced analytics solutions.

• Proven experience in defining enterprise AI strategies and governance programs.

• Familiarity with Generative AI, LLMs, RAG architectures, AI agents, and AI orchestration frameworks.

• Demonstrated success in leading complex enterprise technology initiatives.

• Experience collaborating across multiple business functions and stakeholder groups.

• Proficiency in cloud-native architecture and modern data platforms.

• Experience leading large-scale cloud transformation projects.

• Required hands-on experience with data architecture and modeling.

• Required experience in data warehousing and lakehouse architecture.

• Required experience in data integration and ETL/ELT architecture.

• Familiarity with cloud platforms, preferably Azure.

• Experience with Snowflake.

• Hands-on experience with one or more of Claude Enterprise, OpenAI/Azure OpenAI, or Cortex.

• Experience with Microsoft Fabric.

• Ability to create semantic models.

• Experience with MLOps and AI governance platforms.

• Proficiency in Power BI.

• Experience in Master Data Management.

• Knowledge of API and event-driven architectures.

• Familiarity with data governance and metadata management.

• Proficiency in Python.

• Knowledge of DevOps and CI/CD practices.

• Experience with Informatica IDMC.

• Understanding of SQL and data engineering concepts.

• Knowledge of enterprise solution architecture.

• Familiarity with AI and machine learning fundamentals.

• Preferred: Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or a related field.

• Preferred experience in healthcare, distribution, supply chain, or regulated industries.

• Preferred certifications: Snowflake SnowPro Advanced, Microsoft Azure Solutions Architect Expert, Microsoft Azure AI Engineer Associate, Databricks Data Engineer or Data Architect, AWS Certified Solutions Architect, or TOGAF.

• Preferred experience with Databricks, vector databases, semantic search, RAG architecture design, and knowledge graphs.

🏝️ Benefits

• Comprehensive healthcare plan that includes medical, dental, and vision coverage starting on day one for full-time employees.

• Educational assistance for eligible employees enrolled in an approved, accredited collegiate program.

• Employer-paid life insurance and disability coverage.

• Voluntary supplemental life, hospitalization, critical illness, and other insurance options.

• Adoption assistance.

• Fertility benefits provided through the medical plan.

• Parental leave.

• Health Savings Account (HSA).

• 401(k) plan.

• Paid sick days, short-term leave, holidays, vacation days, personal days, and additional types of leave.

• Teammate Assistance Program (TAP).

• Calm Health program.

• Cancer Resources Services.

• Discount programs available.