• Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. • Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems • Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains • Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks • Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings

• Responsible for the overall architecture and design for the Microsoft application Azure suite. • Ability to act as a functional lead and able to demonstrate a clear approach to methodology as well as functional capabilities. Leads functional workshops with technical persons, document requirements and design appropriate solutions. • Act as a development lead and able to demonstrate a wide range of development skills such as Logic apps and Json. Be a strong advocate for adherence to standards and best practices. Understand the capabilities of the development team and schedule their work appropriately, providing support and assistance when needed. • Work with business and internal teams on infrastructure architecture, and provide required technical support. • Write and review high level and detailed architecture documentation. • Create Solution, Functional and Technical Specifications documentation for the project. • Design, develop, review and test customized code for Dynamics 365 for business engagement. • Stay current on Dynamics 365 on the architecture and new features on the upcoming releases and related technologies, particularly Azure stack technologies that support the Dynamics solution. • Expected to be flexible with time and capable of working in a process-oriented environment. • Excellent communicator with the ability to operate within cross-functional teams. • Work with the team to deliver guidance on the architecture.

• Responsible for the overall architecture and design for the Microsoft application Azure suite. • Ability to act as a functional lead and able to demonstrate a clear approach to methodology as well as functional capabilities. • Leads functional workshops with technical persons, document requirements and design appropriate solutions. • Act as a development lead and able to demonstrate a wide range of development skills such as Logic apps and Json. Be a strong advocate for adherence to standards and best practices. • Understand the capabilities of the development team and schedule their work appropriately, providing support and assistance when needed. • Work with business and internal teams on infrastructure architecture, and provide required technical support. • Write and review high level and detailed architecture documentation. • Create Solution, Functional and Technical Specifications documentation for the project. • Design, develop, review and test customized code for Dynamics 365 for business engagement. • Stay current on Dynamics 365 on the architecture and new features on the upcoming releases and related technologies, particularly Azure stack technologies that support the Dynamics solution. • Expected to be flexible with time and capable of working in a process-oriented environment. • Excellent communicator with the ability to operate within cross-functional teams. • Work with the team to deliver guidance on the architecture.

• Design, build, and optimize enterprise-scale Snowflake environments, including database architecture, schema design, data modeling, and performance tuning across large and complex datasets. • Serve as the internal and client-facing Snowflake subject matter expert — defining standards, best practices, and governance frameworks for Snowflake implementation and ongoing operations. • Lead the design and delivery of end-to-end data pipelines into and out of Snowflake, including ingestion, transformation, and consumption layers, leveraging Snowflake-native capabilities (Streams, Tasks, Dynamic Tables, Snowpipe) wherever appropriate. • Architect and implement Snowflake data sharing, data marketplace, and cross-cloud/cross-region replication strategies for client environments. • Define and enforce Snowflake security architecture including role-based access control (RBAC), column-level and row-level security, data masking policies, and network policies. • Lead Snowflake performance optimization activities including clustering keys, materialized views, query profiling, warehouse sizing, and cost governance. • Drive adoption of Snowflake best practices across client delivery teams, including query optimization, warehousing strategy, and data lifecycle management. • Translate business and technical requirements into Snowflake-first solution designs, defining required work packages, resourcing, and delivery approach. • Define and socialize technical approaches for Snowflake-based implementations including data migration strategies, SDLC standards, and integration patterns — influencing client teams toward best practice. • Lead and mentor a team of data engineers, providing technical direction and code/design review within a Snowflake-centric delivery model. • Present solution designs, architecture options, and delivery recommendations to business and technology stakeholders at all levels. • Contribute to Alpha's internal Snowflake IP, accelerators, and proposition development. • Participate in project team meetings and communicate effectively across internal and client peers, architects, analysts, project managers, and technology teams.