Top Tech Jobs & Startup Jobs

Design, build, deploy, and scale production AI applications and agents. Translate business problems into scalable AI solutions, develop backend services and APIs, integrate with enterprise data platforms, ensure observability, governance, and MLOps, and collaborate with cross-functional client teams.

Own the technical sales cycle for Databricks consulting engagements, including discovery, architecture design, solution scoping, estimation, proposals, demos, proofs of concept, workshops, and statements of work. Design lakehouse, data engineering, analytics, governance, security, and AI architectures. Partner with sales, Databricks, alliance, and delivery teams while ensuring effective handoffs into implementation.

Lead client engagements that identify, prioritize, and operationalize high-value AI opportunities. Responsibilities include process and value-stream mapping, stakeholder workshops, business-case and ROI development, AI platform evaluation, strategy and roadmap creation, KPI definition, senior-stakeholder advising, proposal support, and mentoring. The role bridges business and technology to guide AI investments, workflow improvements, automation, and organizational capability development.

Lead strategy and operations for enterprise AI platforms, administer ChatGPT/Claude environments, define governance, manage licensing/costs, support client deployments, build reusable playbooks, and enable teams on secure, scalable AI operations.

Lead client engagements to define objectives and deliver end-to-end decision science solutions using optimization, simulation, ML, and statistical modeling. Provide technical leadership, execute project plans, develop models, deploy solutions, and upskill clients and teammates.

Lead Databricks architecture and delivery for AI, ML, engineering, and analytics engagements. Act as Databricks subject-matter expert, create technical content and demos, support sales/channel activities, and contribute to product development and partnership growth. Provide hands-on implementation, technical leadership, and client-facing consulting.

Design and implement AI-optimized data platforms and production ETL/ELT pipelines, build semantic and analytical layers, write production-ready SQL/Python code, collaborate with stakeholders and analytics teams, and contribute to the firms data engineering practice and client delivery.

Lead and deliver AI-optimized data engineering solutions: design cloud data platforms, build ELT/ETL pipelines, implement semantic/analytic layers, write production SQL/Python/Spark code, apply AI-assisted tooling, and lead small teams on client engagements.

Lead and expand high-value relationships within enterprise accounts, build a sustainable services pipeline, coordinate delivery and proposals with technical teams, manage multiple initiatives, and drive revenue growth aligned with firm GTM strategy.

As a Lead Analytics Consultant, you will deliver data analytics projects, lead consulting teams, engage with stakeholders, identify business opportunities, and support internal initiatives.