Data Engineering Manager: Lead Pipelines & AI Tools

Long Ridge Partners; New York (NY); Hybrid; USD 500,000 - 800,000; Full time

Job summary

Long Ridge Partners is seeking a Data Engineering Manager to lead its Alternative Data engineering function. This player-coach role balances strategic direction with hands-on design, delivering trustworthy datasets and robust pipelines for quantitative research.

You'll manage a team of five, partner with data scientists, and translate business questions into scalable technical solutions using Python, SQL, Snowflake or Databricks, dbt, and Dagster. Hybrid NYC-based work.

Qualifications

• 8+ years building software, data platforms, or analytics platforms.
• 3+ years leading engineering teams, including managers.
• A degree in Computer Science or related field with a strong academic record.
• A track record of setting technical strategy, building roadmaps, aligning stakeholders, and leading teams through ambiguity.
• Deep proficiency in Python and SQL, with strong fundamentals in data modeling, data warehousing, distributed compute, and APIs.
• Hands-on experience with dbt, cloud data warehouses (Snowflake or Databricks), and orchestration tools such as Dagster.
• Solid experience working in a cloud environment (AWS, Azure, or GCP).
• Strong problem-solving judgment and the ability to communicate and influence across both technical and non-technical audiences.
• A genuine partnership mindset with data scientists, and the ability to translate analytical needs into robust technical solutions.
• Strong people leadership skills, including hiring, coaching, performance management, and building a high-accountability engineering culture.
• Experience applying large language models or AI-assisted development tools to improve engineering or analytical workflows.

Responsibilities

• Define and drive the technical vision and roadmap for data engineering and analytical tooling in support of the data science team, including prioritization, technical direction, and stakeholder communication
• Lead, coach, and support a team of data and software engineers while staying deeply hands-on in design and implementation
• Design, build, and maintain data pipelines, Python packages, analytical tools, frameworks, and vendor platform integrations that power investment research
• Own the full pipeline lifecycle: requirements gathering, orchestration, transformation, validation, observability, documentation, and ongoing support
• Communicate technical strategy, delivery progress, risks, and tradeoffs clearly to both technical and business stakeholders
• Run code reviews and lead discussions on architecture, systems design, data modeling, and technical standards
• Champion engineering best practices, including automated testing, CI/CD, documentation, maintainability, and reusable design
• Prioritize ruthlessly, balancing quick tactical fixes with longer-term, scalable solutions

Skills

Python

SQL

Data modeling

Data warehousing

Distributed compute

APIs

Leadership

Stakeholder communication

CI/CD

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Tools

dbt

Snowflake

Databricks

Dagster

Spark

ETL tooling

Job description

Long Ridge Partners is seeking a Data Engineering Manager to lead its Alternative Data engineering function. This player-coach role balances strategic direction with hands-on design, delivering trustworthy datasets and robust pipelines for quantitative research.

You'll manage a team of five, partner with data scientists, and translate business questions into scalable technical solutions using Python, SQL, Snowflake or Databricks, dbt, and Dagster. Hybrid NYC-based work.