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Data Engineering Manager / Director - Fulltime / Permanent

Pull Skill TechnologiesConshohocken, PA🇺🇸United StatesPosted 5 Aug 2026

Quick Overview

Work Type
On Site
Level
Leader

Job Description

Title: Director, Sr. Manager, Manager of Data Engineering

Location: Conshohocken PA 3 days onsite Per Week
Job Type: Fulltime / Permanent

From organizations that have recently:

  • Implemented Snowflake
  • Modernized a data warehouse
  • Migrated data platforms
  • Built self-service data capabilities
  • Established enterprise data governance
  • Created AI-ready data ecosystems

MUST HAVE REQUIREMENTS

Snowflake (Most Important Requirement)

Candidate must have deep Snowflake experience.

Looking for someone who has:

  • Built or significantly contributed to a Snowflake implementation from the ground up.
  • Owned enterprise Snowflake architecture and strategy.
  • Led Snowflake adoption, governance, scalability, and optimization efforts.
  • Strong understanding of Snowflake data architecture and enterprise design patterns.
  • NOT looking for candidates who simply used Snowflake as a reporting tool or wrote occasional queries.

DBT

Must have hands-on experience with:

  • DBT (Data Build Tool)
  • Building transformations
  • Data modeling
  • Development and maintenance of enterprise data models

Data Platform Architecture

Strong experience with:

  • Enterprise data architecture
  • Data platform ownership
  • Data engineering leadership
  • Data migrations
  • Data governance
  • Data distribution
  • Enterprise data modeling
  • Semantic layer design
  • Data quality and lineage

Data Engineering & Data Movement

Must have experience designing and managing:

  • Enterprise data pipelines
  • Data movement strategies
  • Internal and external data consumption
  • Data sharing frameworks
  • Data integration architecture

Experience with:

Managed File Transfer (MFT)

Governed SFTP environments

Snowflake Data Share

Data feeds to third parties

Secure data exchange platforms

AI & Self-Service Data

Seeking candidates who understand:

  • AI-enabled data products
  • Self-service analytics
  • Data readiness for AI
  • Data governance supporting AI initiatives
  • Data lineage and trust models
  • Need practical experience applying data platforms to support future AI initiatives.

EXPERIENCE REQUIREMENTS

Ideal

  • 10+ years of experience
  • Director-level leadership
  • Enterprise data platform ownership
  • Multiple large-scale data initiatives
  • Snowflake implementation leadership experience

Absolute Minimum

  • 7+ years of relevant experience
  • Strong technical depth in Snowflake and data engineering

MANAGEMENT EXPECTATIONS

Ideal Candidate

  • Several years of formal people management experience
  • Led Data Engineering or Data Platform teams
  • Comfortable balancing:
    • Technical strategy
    • Delivery execution
    • Team leadership
    • Stakeholder management

Secondary Profile

If the market proves challenging:

  • Strong Team Lead may be considered
  • Hands-on technical leader
  • Mentored engineers
  • Influenced strategy without direct reports
  • Client could potentially consider a Manager-level candidate if they possess exceptional platform architecture and Snowflake expertise.

INDUSTRY EXPERIENCE

Preferred

  • Financial Services
  • FinTech
  • Banking
  • Accounting-focused organizations

Why This Helps

Environment includes:

  • Financial data
  • Accounting-related data
  • Investment-related data
  • Regulatory and governance considerations

Regards,

Nick Arthur (Nizam)

Associate Director, Recruitment

Pull Skill Technologies Inc.

Direct: +1 551-272-o197

Skills

Snowflake
Stakeholder Management
dbt

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