Lead Data Engineer

3 days ago

New York, New York, United States TEK NINJAS Full time $120,000 - $180,000 per year

Job Title: Lead Data Engineer (Asset management/Alternatives Investments)

Location: New York City, NY; (Onsite – 5 days/week)

Duration: 6-12+ Months

Tech skill sets
: Data Architecture, Data Modelling, Expert level SQL, Python, AWS Technologies (Glue), Snowflake and data engineering design patterns

Domain:
Asset management, Alternatives Investments, Financial Services.

About the Role:

We are seeking an experienced Lead Data Engineer / Data Architect to spearhead the design, development, and implementation of our enterprise data platform. This role will be instrumental in shaping and driving our data engineering roadmap, ensuring scalability, performance, and innovation. The ideal candidate combines deep technical expertise with strong leadership skills and a solid understanding of financial services data domains.

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.
  • 12+ 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.

Preferred Qualifications:

  • Certifications in Snowflake or relevant data technologies.
  • Experience in the financial services sector, especially asset management / alternative investments, with an understanding of data security and compliance requirements.
  • Familiarity with cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Apache Airflow).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI).

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