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Remote-first but senior and niche Snowflake/data engineering expertise reduce applicant density moderately.
Technical, platform-specific data engineering skills are transferable but require domain and tooling expertise.
Explicit 16+ years, 8+ architect years, and many mandatory tech and leadership requirements.
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Lead design and implementation of large-scale data engineering solutions on modern cloud platforms (Snowflake, AWS, Databricks).
Manage and mentor a team of Solution Architects and Data Engineers driving project delivery and internal growth.
Engage directly with clients and cross-functional teams to ensure successful outcomes, including delivery of technical presentations and detailed solution documentation.
16+ years total experience with 8+ years as hands-on Solutions Architect in data engineering.
Strong programming skills in Python and/or Scala; familiarity with Java is a plus.
Expertise in core cloud data platforms including Snowflake, AWS, and Databricks, plus SQL proficiency.
Bachelor's degree in Computer Science or related field, or Master's in Computer Applications or equivalent.
Experienced in leading consulting engagements and managing interdisciplinary, distributed teams in fast-paced environments.
Proficient with modern data engineering toolchains including dbt, data integration frameworks, and cloud-native pipelines.
Able to independently own end-to-end solution development and collaborate with multiple stakeholders to ensure scalable, secure, and performant data architectures.