Senior Data Engineer

Title: Senior Data Engineer

Location: Northeast Region
Employment Type: Full-Time/Perm

Description:
* The Senior Data Engineer will lead a team responsible for designing and managing data pipelines, ensuring the effective flow of information within an organization.
* This role involves overseeing integration engineers, designing and documenting data architectures, ensuring quality in deliverables, and collaborating across teams.
* The ideal candidate will have a strong background in data management, data pipeline design, and governance frameworks to support business intelligence and analytics initiatives.

Key Responsibilities:
* Lead and manage a team of integration engineers, including full-time and contract resources.
* Architect, design, and document data pipelines to support business operations.
* Provide mentorship and cross-team communication to ensure alignment with organizational goals.
* Oversee the quality of deliverables and enforce best practices in data management.
* Handle administrative management duties, including resource planning and budgeting.

Required Skills:
* 10 years of experience in data engineering leadership roles.
* Extensive experience with traditional relational databases.
* Strong knowledge of data integration tools and techniques.
* Experience with distributed computing and orchestration platforms.
* Expertise in event-driven architectures and data streaming methodologies.
* Familiarity with financial data structures and reporting.
* Strong skills in data modeling and defining data contracts between systems.
* Knowledge of modern data pipeline architectures, especially within cloud environments.
* Experience with hybrid data processing models, combining real-time and batch processing.
* Proficiency in architectural documentation, including conceptual and logical modeling.
* Microservices-based design expertise.
* Experience implementing data governance within data pipelines.
* Familiarity with analytical data structures for AI and advanced analytics.
* Knowledge of various data platforms, including cloud-based storage and data governance tools.
* Strong problem-solving and analytical skills.
* Excellent verbal and written communication skills.
* Ability to present complex concepts effectively to technical and non-technical audiences.
* Bachelor's degree required.

Desired Skills:
* Experience in financial services, including knowledge of financial products and derivatives.
* Familiarity with data observability and reliability engineering practices.
* Hands-on experience with data quality, lineage, and cataloging tools.
* Strong understanding of master data management principles.

Compensation:
Pay Range: $175000K-$250000K

Benefits:
A comprehensive benefits package is offered, reach out to your Mitchell Martin Recruiter Daniel Paulli, to find out more.

EEO Statement:
Learn more about our EEO policy here ().

#LI-DP1

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.