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HurixDigital Logo HurixDigital · IT - Software Development

Subject Matter Expert – Data Management & Engineering

United States · Job Posted May 28, 2026
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Job Description

We are seeking a highly skilled Subject Matter Expert (SME) with deep expertise in Data Management and Engineering, including multimodal data pipelines, vector databases, data lakehouses, and real-time streaming systems. The ideal candidate brings strong hands-on engineering experience paired with the ability to teach complex data concepts clearly and practically.

Job Responsibility

  • Analyze/create learning objectives for each course
  • Review/create Course Outline for each of the courses
  • Review video scripts (7-9 per course) and confirm technical accuracy of the content, suggest edits and updates as required
  • Provide relevant static or recorded demos/ screencast to be integrated in the videos
  • In case of AI/software/tool-based courses, suggest relevant freeware
  • Write/review and test the codes to check
  • Review readings (4-6 per course, each up to 1200 words) and confirm technical accuracy of the content, suggest edits and updates as required
  • Create hands-on activities (1-2 lab or any other client-preferred format) per course
  • Review practice quiz and graded assessments (5 files, each comprising 5-10 questions and suggest suitable edits, confirm technical accuracy
  • Record talking head videos (onsite/virtually on Zoom) for each course
  • Provide digital signatures to be included on the client platform
  • For all reviews – validate the content accuracy and provide recommendations/suggestions, write/re-write to fill content gaps as necessary, write/test codes and labs
  • Be available for Client discussions and content discussions as and when required

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field
  • 5+ years of proven experience designing and maintaining scalable data pipelines and integrations
  • Strong proficiency with data pipeline tools and frameworks such as Apache Spark, Airflow, Kafka, or dbt
  • Hands-on experience with vector databases, embedding models, and metadata management
  • Solid understanding of data lakehouse architecture, data lakes, and data modeling patterns
  • Experience with distributed computing, real-time streaming data, and scalable multimodal systems
  • Proficiency in data quality assessment, data governance, and data security best practices
  • Familiarity with cloud data platforms (Snowflake, Databricks, BigQuery, or equivalent)
  • Strong SQL skills and experience with query optimization across diverse data sources
  • Certifications such as Google Cloud Data Engineer, AWS Data Analytics, Databricks certifications, or equivalent are a plus
  • Prior experience mentoring data teams or building data platform documentation is preferred.

Nice to have

  • Certifications such as Google Cloud Data Engineer, AWS Data Analytics, Databricks certifications, or equivalent are a plus
  • Prior experience mentoring data teams or building data platform documentation is preferred.
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