Senior Manager, Data Engineering
Location: Chicago
Compensation: $180,000-$190,000 base, plus eligibility to earn discretionary bonus
About the Role
We’re building out our data engineering function from the ground up and looking for a hands-on technical leader to help us scale. This is a newly created leadership role for someone who wants to stay close to the technical work while also building and managing a team. You’ll be joining a fast-paced, well-funded startup environment with real intensity and speed, so this role is best suited for someone excited by that pace rather than surprised by it.
What You’ll Do
- Lead data engineering work from ingestion through the silver layer, including fact and dimension modeling, data cleansing, and pipeline architecture
- Operate in a hands-on capacity (targeting a 50/50 technical to managerial split initially, shifting toward more management as the team matures)
- Manage and coordinate with engineering leads across multiple contracting teams, serving as the final technical decision-maker while collaborating closely with those teams
- Weigh in on Master Data Management strategy, including build vs. buy decisions, golden record creation, and governance approaches
- Partner with the data governance function to ensure alignment, without owning governance directly
- Balance short, medium, and long-term priorities while managing a substantial backlog of in-flight projects
- Communicate proactively around timelines, risks, and unexpected issues across multiple stakeholder groups
What We’re Looking For
Must-Haves
- Strong hands-on experience with the Microsoft Azure stack (Data Factory, Synapse, and similar tools)
- Solid data ingestion and pipeline development background
- Strong fact and dimension modeling experience
- Familiarity with Master Data Management principles (specific platform experience not required, e.g. Informatica, Tibco, or similar all welcome)
- Excellent communication skills, particularly around setting expectations and navigating changing priorities
Nice-to-Haves
- Experience with Databricks (Snowflake or similar platforms also considered if you can demonstrate the ability to flex)
- Experience with DBT or similar data transformation tooling
- Experience managing or mentoring contractors, particularly in a remote setting
- Background working in a startup or fast-paced technology environment
- Exposure to data governance practices and collaboration with governance teams
Leadership
- Open to candidates transitioning from a strong individual contributor or lead role into people management for the first time, as long as management is a path you’re intentionally pursuing
- Comfortable ramping quickly in a growing, evolving environment
Team & Structure
You’ll manage a senior data engineer, with an additional engineering hire planned, and will work closely with engineering leads across multiple contracting partners.
LaSalle Network is an Equal Opportunity Employer m/f/d/v.
LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Engineering, Marketing, Technology, Supply Chain, Revenue Cycle, Call Center, Human Resources and Executive Search, LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries.