Data Engineering Manager: Lead Data Infrastructure & Pipelines

Hudson Valley Credit Union

City of Poughkeepsie (NY)

On-site

USD 140,000 - 190,000

Full time

13 days ago

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Benefits offered by this job

Base & Variable Pay Structures

Paid Personal, Holiday & Volunteer PTO

Professional Development & Training

Student loan repayment & tuition Reimb

Medical, Dental & Vision coverage

401(k) with employer match

Life, disability insurance

Discounted loan rates & fees

Job summary

Hudson Valley Credit Union is seeking a senior Manager of Data Engineering to lead and mentor a team responsible for designing, building, and maintaining scalable data infrastructure and pipelines. You will drive data initiatives aligned with business goals and ensure governance, security, and reliability across data platforms.

In this role, you will manage budgets, resources, and vendor relationships while fostering innovation and continuous improvement.

Qualifications

Bachelor's Degree in computer science, information technology, or related field.
ITIL v3 or v4 foundation (or within 1 year of joining) required.
Certified Information Technology Manager (CITM) or comparable (or within 1 year of joining) required.
Microsoft Certified in Azure Data Engineer (or within 1 year of joining) required.
Databricks Certified in Data Engineer Associate (or within 1 year of joining) required.
Minimum 10 years progressive experience in IT required.
Minimum 7 years Hands-on experience in data engineering required.
Minimum 4 years Modern programming language required.
Minimum 4 years Leadership (Supervisor or higher) required.
Minimum 2 years Databricks required.

Responsibilities

Lead and mentor data engineering team to design, develop, and maintain data infrastructure and pipelines.
Define long-term data strategy aligned with business goals to enable data-driven decision-making.
Hire and develop Data Engineer employees and foster innovation and growth.
Manage project resources, budgets, and vendor relationships to deliver on time and within budget.
Oversee data warehouses and pipelines for scalability, performance, and reliability.
Implement industry-standard data ingestion, processing, storage, and transformation practices.
Ensure data quality, governance, and security with monitoring and validation processes.
Participate in annual budget planning for people, technology, and vendors.
Adhere to policies and training requirements, supporting Lean Six Sigma initiatives.
Collaborate on strategic initiatives and take on special projects as assigned.