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Remote role with broad toolset and metro hiring increases competition, but seniority reduces applicant density.
Role requires specialized data engineering, cloud, and client-facing consulting experience, limiting cross-industry transferability.
Explicit 8+ years requirement plus deep mandatory Data/AI, cloud, and consulting experience increases filtering strictness.
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Lead end-to-end delivery of scalable Data & AI solutions from discovery to production deployment for enterprise clients.
Serve as primary technical advisor during client engagements, providing architecture recommendations and guiding engineering teams to resolve risks and blockers.
Leverage AI technologies throughout the software delivery lifecycle to enhance solution design, engineering productivity, and client outcomes.
8+ years experience in Solutions Architecture, Data Engineering, or related consulting roles.
Proven track record in designing and delivering enterprise Data & AI solutions in cloud environments.
Hands-on experience with cloud platforms (Snowflake, AWS, Azure, GCP, Databricks) and data engineering tools (Python, SQL, Spark, Kafka, Airflow, dbt, etc.).
Experience incorporating AI tools and platforms (e.g., Anthropic Claude, OpenAI, GitHub Copilot) into engineering and solution delivery.
Experienced client-facing technical leader with strong consulting skills and ability to influence executive stakeholders and engineering teams.
Comfortable working across distributed, global teams and managing complex architectural decisions.
Demonstrated ability to mentor engineers, lead technical discovery, and deliver measurable business value through modern Data & AI platforms and practices.