Database Technology Manager

Description

Role Description: We're hiring a Data Engineering Manager to lead our analytics engineering
team and own the strategy, architecture, and delivery of our data platform. You'll manage two
analysts, partner with software engineering on ETL/integration work, and make the technical
decisions that shape how the organization consumes data. Your priorities are speed, security,
and stability-in that order when they conflict. This role requires initiative and ownership.
You'll operate with significant autonomy-identifying problems, developing solutions, and
driving them to completion without waiting for direction. We need someone who stays close to
the work and leads by example.
Roles & Responsibilities:
Manage and develop a team of two data analysts focused on reporting, dashboards, and
data modeling
Own schema design, data modeling decisions, and warehouse architecture
Optimize query performance, storage costs, and pipeline reliability
Partner with engineering teams on data integration, ETL processes, and source system
changes
Establish and enforce standards for data quality, access controls, and documentation
Evaluate and implement tooling decisions across the data stack
Translate business requirements into scalable, maintainable data solutions
Integrate multiple systems with Salesforce Sales Cloud, including internal proprietary
and third-party applications and APIs
Qualifications:
Bachelor's Degree in Computer Science and Engineering or equivalent
5+ years of experience in data engineering, analytics engineering, or a related technical
role
2+ years of experience managing or technically leading a team
Deep expertise with cloud data warehouse: Azure Data Warehouse or Snowflake
Advanced SQL skills and solid understanding of data modeling patterns (star schema,
normalization tradeoffs, slowly changing dimensions)
Hands-on experience with at least one BI platform (PowerBI, Tableau, or Looker)
Experience with Salesforce data structures and reporting (SOQL, custom objects, record
relationships)
Familiarity with ETL/ELT orchestration tools (Airflow, Azure Data Factory, Airbyte etc..)
Background in data governance, PII handling, or compliance requirements
Ability to understand and document business logic, not just technical implementation
Clear communication skills-you'll interface with both engineers and business
stakeholder

Requirements

Qualifications:

Bachelor's Degree in Computer Science and Engineering or equivalent

5+ years of experience in data engineering, analytics engineering, or a related technical

role

2+ years of experience managing or technically leading a team

Deep expertise with cloud data warehouse: Azure Data Warehouse or Snowflake

Advanced SQL skills and solid understanding of data modeling patterns (star schema,

normalization tradeoffs, slowly changing dimensions)

Hands-on experience with at least one BI platform (PowerBI, Tableau, or Looker)

Experience with Salesforce data structures and reporting (SOQL, custom objects, record

relationships)

Familiarity with ETL/ELT orchestration tools (Airflow, Azure Data Factory, Airbyte etc..)

Background in data governance, PII handling, or compliance requirements

Ability to understand and document business logic, not just technical implementation

Clear communication skills-you'll interface with both engineers and business

stakeholder

Technology Doesn't Change the World, People Do.

Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

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