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Remote senior data consulting role with moderate brand recognition increases candidate competition.
Strong data-platform and consulting requirements moderately restrict cross-industry transferability.
Explicit 8–12+ years, cloud/data platform expertise, and consulting experience make filters strict.
Lead design and hands-on delivery of complex data, analytics, AI, and cloud platform solutions from discovery through deployment and stabilization.
Own and manage significant technical workstreams and solution components, ensuring scalable, secure, and production-ready implementations.
Provide technical guidance and mentoring to teams while contributing to reusable assets, standards, and technical discovery to strengthen the Data Practice.
Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, Data Science, or related technical discipline, or equivalent experience.
8–12+ years of professional technical experience delivering enterprise data, analytics, AI, cloud, or digital transformation solutions.
Hands-on experience with modern data platforms (e.g., Snowflake, Databricks, Microsoft Fabric) and cloud environments (AWS, Azure, GCP).
Demonstrated consulting or professional services experience working directly with clients and owning complex technical workstreams.
Experienced in leading technical delivery while balancing quality, client priorities, and operational realities without full architectural authority.
Proficient in modern data engineering practices including data modeling, pipeline automation, orchestration, and lifecycle practices like CI/CD and automated testing.
Able to communicate complex technical issues clearly to client and business stakeholders and drive solutions aligned with business objectives.