5 дней назад
Senior Data Management Engineer (Databricks)
97 600 - 138 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Management Engineer (Databricks): Designing and building technical capabilities for enterprise data governance across data quality, metadata and catalog, classification and protection, and master and reference data with an accent on enforceable controls, automation, and reusable engineering patterns. Focus on implementing data quality frameworks, metadata lineage capture, attribute-based access control, dynamic masking, and technical standards across multiple data domains.
Location: Denver HQ T3, United States
Salary: $97,600–$138,600 per year
Company
is an electricity and natural gas energy company serving customers across eight Western and Midwestern states.
What you will do
- Design and implement data quality frameworks, rules, scoring methodologies, remediation workflows, and escalation models across multiple data domains.
- Build metadata and data catalog automation, including lineage capture, harvesting strategies, integrations, and business glossary bindings.
- Develop data classification, access control, attribute-based policy, tagging automation, and dynamic masking patterns in the enterprise data platform.
- Create reusable governance components, libraries, APIs, and technical standards; evaluate tooling and recommend platform configurations and integrations.
- Mentor engineers, review technical work, lead governance workstreams, and manage scoping, sequencing, and progress reporting.
- Partner with data owners, stewards, platform engineering, enterprise architecture, and cybersecurity to translate policies into enforceable controls.
Requirements
- Bachelor’s degree in computer science, information systems, data analytics, engineering, or a related field, or equivalent education and experience.
- At least five years of experience in data management, data engineering, or data governance engineering.
- Advanced SQL proficiency and demonstrated proficiency in Python.
- End-to-end experience implementing at least one enterprise data management capability, such as data quality, metadata and catalog, master data, or data access control.
- Ability to independently design technical solutions and explain design decisions to technical and business stakeholders across multiple data domains.
Nice to have
- Experience implementing DQX on Databricks and hands-on experience with Databricks and Unity Catalog.
- Experience with attribute-based access control, tag-based policies, and conceptual, logical, and physical data modeling.
- Six to eight years of relevant experience and experience in SOX, NERC CIP, privacy-regulated, gas, or electric utility environments.
- CDMP certification or willingness to obtain it within the first year.
Culture & Benefits
- Full-time employment with medical, pharmacy, dental, vision, life insurance, and disability coverage.
- 401(k), pension, health savings and reimbursement accounts, transportation programs, and paid time off.
- Annual incentive program, tuition reimbursement, fitness center reimbursement, employee assistance, and recognition programs.
- Parental leave, holidays, and volunteer paid time off.
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