CLIENT:
Our client is a market leader in proactive intelligence solutions for MSPs.
JOB DESCRIPTION
Team & Technical Leadership
- Manage, mentor, and grow a team of Data Engineers, fostering a high-performance, collaborative culture.
- Work closely with Data Analysts across Assets, Pro Services, Support, and Migration teams to ensure that the underlying data infrastructure supports their needs.
- Oversee project planning, technical decision-making, and timely delivery of engineering initiatives.
Data Engineering & Platform Ownership
- Architect, build, and optimize data pipelines for ingestion from SaaS tools (e.g., PSA, RMM, monitoring platforms).
- Own and scale our data infrastructure on cloud platforms (AWS, GCP, Azure).
- Implement and maintain CI/CD processes for data workflows and transformations.
Data Integration & Standardization
- Design unified data models across disparate MSP tools; lead cross-system integration and data normalization.
- Partner with Development and DA teams to ensure data consistency and traceability across outputs.
- Manage syncing frequency and storage policies in line with platform performance.
Data Governance & Compliance
- Develop and enforce governance frameworks for data quality, metadata management, access control, and classification.
- Define and monitor Data Quality Indicators (DQIs) for accuracy, completeness, and timeliness.
- Establish data access policies, audit trails, and compliance processes (e.g., GDPR, SOC 2), and participate in audits and risk assessments.
Data Cataloging & Metadata Management
- Maintain clear documentation of data sources, data lineage, and business logic via data catalogs and dictionaries.
- Promote standardized definitions, usage policies, and master data consistency across all client assets.
Stakeholder & Client Collaboration
- Collaborate with internal teams—including Data Analysts from all business units—to translate requirements into scalable, reliable data solutions.
- Support dataset, widget, and dashboard development by providing governed, high-quality data structures.
Promoting a Data-Driven Culture
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- Drive adoption of reusable, governed data assets by product, customer success, and operations teams.
- Lead internal training sessions and promote best practices in data governance, usage, and security.
JOB QUALIFICATION
- Education: Bachelor’s or Master’s in Computer Science, Information Management, or related fields.
- Experience: 5+ years in data engineering, with at least 2 years managing data teams.
- Proven experience with data governance frameworks (e.g., DAMA DMBOK) and metadata management.
- Strong hands-on skills in PostgreSQL (including performance tuning), SQL, and Python.
- Solid understanding of data warehouse/lake architecture, ETL/ELT processes, and data modeling.
- Familiarity with tools like Airflow, dbt, Informatica, or similar.
- Experience integrating with MSP ecosystem platforms (e.g., ConnectWise, Kaseya, Datto, N-able)
ACTIVE DATES
Urgent hiring!
