Lead Data Engineer / Data Architect Job at TalentOla, New York, NY

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  • TalentOla
  • New York, NY

Job Description

Key Responsibilities:

  • Lead the data architecture and engineering strategy , ensuring alignment with business and technology roadmaps.
  • Design and implement data models, pipelines, and data integration frameworks across multiple platforms.
  • Partner with stakeholders to translate business requirements into scalable data solutions .
  • Performance Optimization: Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.
  • Drive adoption of best practices in data engineering design patterns and modern cloud architectures.
  • Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.
  • Collaboration and Communication: Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.
  • Mentor and guide data engineering teams (onsite & offshore) to deliver high-quality outcomes.
  • Ensure compliance with data governance, security, and privacy standards.
  • Documentation: Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.
  • Issue Resolution: Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.

Required Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 8+ years of experience in data engineering with a strong focus on Data Architecture , Data Modelling (Conceptual, Logical, Physical), ELT processes and data pipeline development.
  • Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization.
  • Proficiency in SQL and familiarity with data integration and ETL/ELT tools.
  • AWS Technologies (Glue, EMR)
  • Python for data engineering workflows
  • Strong understanding of data engineering design patterns
  • Strong problem-solving skills and the ability to work independently to meet deadlines.
  • Excellent communication skills for effectively interacting with technical and non-technical stakeholders.

Job Tags

Full time, Part time, Internship, Seasonal work,

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