Data Architect and Technical Lead

Who We Are Provoke is a global consulting firm building AI-native solutions that transform how work gets done. Founded on a culture of innovation, growth, and curiosity, we partner with global clients to design and deploy agentic AI embedded directly into workflows so teams move faster, think smarter, and scale with purpose. The Opportunity We are looking for a Data Architect and Technical Lead to own data platform strategy and delivery across client engagements. You will lead architecture decisions, set engineering standards, and stay hands-on through delivery. Expect to split your time between individual technical contribution and guiding the engineers around you. This role is ideal for someone who thrives in a fast-paced consulting environment, brings a consultative mindset that challenges assumptions, and can communicate complex technical concepts clearly to business stakeholders. Key Responsibilities Technical Leadership & Architecture Lead data platform architecture and solution design for client engagements, ensuring scalable, secure, and maintainable solutions Stay hands-on across the delivery lifecycle through coding, prototyping, and technical problem-solving (~50% individual contribution) Define and ensure teams follow data engineering standards, architecture patterns, and best practices across Snowflake, Databricks, and Microsoft Fabric Drive platform selection decisions, advising clients on the right fit based on their data landscape and objectives Client & Consulting Engagement Partner with client stakeholders and leadership to translate business challenges into data architecture solutions, explaining in clear, business-relevant language Lead technical discovery sessions and contribute to presales solution shaping and proposal development Team Leadership Provide technical oversight to data engineering teams through design reviews, code reviews, and hands-on support Lead and guide the team to ensure projects meet scope, timeline, and quality goals AI & Innovation Guide clients in adopting GenAI and Agentic AI, applying these tools actively yourself Contribute to Provoke’s AI service offerings Required Skills & Experience 8+ years of data engineering or architecture experience, with at least 3 years in a consulting or professional services environment Proactively using Gen AI and Agents at every step of the SDLC to improve quality and speed Hands-on experience with multiple data platforms such as Snowflake, Databricks or Microsoft Fabric at enterprise production scale (1 year minimum hands on working experience using Microsoft Fabric required) Proven ability to architect and deliver across multiple data platforms, advising on platform fit based on client context Strong PySpark and SQL skills; experienced designing and reviewing complex transformations at scale Experience designing medallion (bronze/silver/gold) architectures and applying Delta Lake or equivalent patterns Strong communication skills across both technical and executive audiences Experience migrating from legacy or siloed data environments to modern cloud data platforms Desirable Qualifications Certifications in one or more platforms: Snowflake SnowPro, Databricks Certified Data Engineer, Microsoft DP-600, or equivalent Experience with dbt or other transformation frameworks across Snowflake, Databricks, or Fabric Exposure to data governance tooling (Microsoft Purview, Unity Catalog, or similar) Prior experience leading client workshops, design sprints, or contributing to proposal responses Working Hours Preferred: US time zone alignment (PST). Flexibility to accommodate client schedules is part of the role. Location US. Travel 25-50% required Role Type & Work Authorization Candidates must be authorized to work in the U.S. without VISA Sponsorship