远程工作雷达

数据工程总监 - 远程机会

Director, Data Engineering - remote opportunity

开发工程限定地区(需当地身份)
公司Tivity Health
薪资$137,700 - $175,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Other
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

职位描述/职责
我们正在寻找一位数据工程总监,领导Tivity Health的企业数据基础架构(EDF)团队。该职位负责企业数据平台的全生命周期管理,涵盖数据采集、转换、存储和交付,涉及两个不同的业务领域:我们的核心健身业务和全健康生活(WHL)医疗业务。
该总监将管理一个约10人的工程师和质量保证专业人员团队,制定平台架构和技术演进方向,并与数据治理、商业智能与报告、产品工程及业务利益相关者跨职能合作,确保数据基础设施满足当前运营需求和未来战略目标。此职位主要是人员管理和技术领导角色——成功的候选人必须能够审查架构决策、评估代码和流程设计,并指导工程执行,而不仅仅是审批时间表。
该职位向数据副总裁汇报,并在数据管理部门内与商业智能与报告负责人和高级数据治理策略师平级协作。

职责:
人员领导

  • 领导、指导并培养一支约10人的数据工程师和质量保证专业人员团队,涵盖ETL开发、平台运维和质量保障。
  • 进行绩效管理,包括目标设定、定期1对1沟通、职业发展计划和绩效评估。
  • 推动团队容量规划、招聘和新工程及质量保证岗位的入职培训。
  • 培养工程卓越、责任意识和持续改进的文化。
  • 协调团队成员的工作量,平衡项目交付、运营支持和技术债务减少。

数据架构与平台策略

  • 负责Tivity Health企业数据平台的架构愿景,涵盖Snowflake、AWS数据服务和本地遗留系统。
  • 制定并执行平台演进路线图,包括将批量ETL现代化为实时和事件驱动架构,采用开放表格式(Apache Iceberg),逐步淘汰遗留基础设施。
  • 评估并推荐符合业务需求和总拥有成本的新兴技术(例如零ETL集成、湖仓模式、流式CDC)。
  • 确保平台设计满足可扩展性、可靠性、安全性和合规性要求,覆盖两个业务领域。
查看英文原文

Description/Responsibilities
We are seeking a Director of Data Engineering to lead the Enterprise Data Foundation (EDF) team at Tivity Health. This role is responsible for the full lifecycle of our enterprise data platform — spanning ingestion, transformation, storage, and delivery — across two distinct business domains: our core Fitness business and our Whole Health Living (WHL) healthcare business.
The Director will manage a team of approximately 10 engineers and QA professionals, set technical direction for platform architecture and evolution, and partner cross-functionally with Data Governance, BI & Reporting, Product Engineering, and business stakeholders to ensure data infrastructure meets both current operational needs and future strategic objectives. This is primarily a people management and technical leadership role — the successful candidate must be able to review architectural decisions, evaluate code and pipeline designs, and direct engineering execution, not simply approve timesheets.
This role reports to the VP of Data and works as a peer alongside the BI & Reporting Lead and the Senior Data Governance Strategist within the Data Management department.
Responsibilities:
People Leadership

  • Lead, mentor, and develop a team of ~10 data engineers and QA professionals across ETL development, platform operations, and quality assurance.
  • Conduct performance management including goal-setting, regular 1:1s, career development planning, and performance reviews.
  • Drive team capacity planning, hiring, and onboarding for new engineering and QA roles.
  • Foster a culture of engineering excellence, ownership, and continuous improvement.
  • Coordinate workload across team members, balancing project delivery, operational support, and technical debt reduction.

Data Architecture & Platform Strategy

  • Own the architectural vision for Tivity Health's enterprise data platform, spanning Snowflake, AWS data services, and on-premises legacy systems.
  • Define and execute the platform evolution roadmap, including modernization of batch ETL toward real-time and event-driven architectures, adoption of open table formats (Apache Iceberg), and progressive elimination of legacy infrastructure.
  • Evaluate and recommend emerging technologies (e.g., zero-ETL integrations, lakehouse patterns, streaming CDC) aligned to business needs and total cost of ownership.
  • Ensure platform designs support scalability, reliability, security, and compliance requirements across both Fitness and WHL healthcare domains.
  • Establish and enforce data engineering standards, patterns, and best practices for pipeline development, infrastructure-as-code, testing, and deployment.
  • Partner with Data Governance to ensure platform architecture enables cataloging, lineage, quality measurement, and access control at enterprise scale.

Engineering Delivery & Operations

  • Oversee design, development, and maintenance of production ETL pipelines (AWS Glue, DMS, Snowflake Tasks) processing data from RDS, DynamoDB, MSSQL, Oracle EBS, SaaS APIs, and file-based sources into Snowflake.
  • Own pipeline reliability and incident response, maintaining 99%+ ETL success rates across both Fitness and WHL platforms.
  • Direct the team's infrastructure-as-code practice (Pulumi) for all Snowflake and AWS resource provisioning and change management.
  • Review and approve architectural decisions, pipeline designs, data models, and production changes — ensuring technical rigor without being the bottleneck.
  • Drive the completion of legacy platform migration (on-premises SQL Server reporting to Snowflake) and retirement of end-of-life systems.
  • Manage operational metrics, SLAs, and capacity planning for data infrastructure (compute, storage, pipeline throughput).

Cross-Functional Partnership

  • Partner with the BI & Reporting team to ensure the consumption layer (Tableau, S3 exports, client deliverables) has performant, reliable, well-documented data assets.
  • Collaborate with Data Governance on data quality rule implementation, business term definitions, catalog completeness, and compliance controls.
  • Work with Product Engineering and DevOps on shared infrastructure, CI/CD pipelines, and platform security.
  • Communicate platform status, risks, and roadmap to senior IT leadership and business stakeholders.

Platform Scope
The EDF team owns and operates the foundational data platform that all analytics, reporting, governance, and data science teams consume. The current platform includes:

  • Snowflake Data Cloud — AWS Data tooling
  • Snowflake Tasks
  • Infrastructure-as-Code — Pulumi-managed deployments for all Snowflake resources (databases, schemas, roles, warehouses, tasks) and AWS resources (Glue, S3, IAM, DMS).
  • Legacy Systems.

Qualifications

  • Bachelor's or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related quantitative field preferred. Experience in lieu of education will be considered.
  • 6+ years of hands-on experience in data engineering or data architecture roles.
  • 3+ years of direct people management experience leading technical teams.
  • Expert-level SQL proficiency and working knowledge of Python for data engineering.
  • Experience with cloud data warehouses (Snowflake, Redshift, BigQuery, or Databricks) at enterprise scale.
  • Demonstrated ability to define and execute multi-year platform modernization roadmaps.
  • Experience operating in a regulated or compliance-sensitive environment (healthcare, financial services, or similar).

Preferred Qualifications

  • 10+ years of progressive experience in data engineering, data architecture, or data platform roles.
  • 5+ years in a management or leadership role directing data engineering teams of 5+ members.
  • Deep expertise with Snowflake (architecture, performance tuning, security model, cost optimization) and AWS data services (Glue, DMS, S3, Lambda, Lake Formation).
  • Hands-on experience designing and operating layered data warehouse architectures (Raw/Staging → Integration → Presentation → Analytics/Consumption).
  • Strong background in ETL/ELT pipeline design, including incremental loading patterns, change data capture, SCD Type 2, and data quality validation.
  • Experience with infrastructure-as-code (Pulumi, Terraform, or CDK) for managing cloud data resources through CI/CD pipelines.
  • Familiarity with modern data platform patterns: Apache Iceberg / open table formats, lakehouse architectures, event-driven / streaming pipelines, and zero-ETL integrations.
  • Experience with healthcare data systems (claims adjudication, eligibility, provider networks) is strongly preferred given the WHL domain scope.
  • Understanding of data governance frameworks, metadata management, data cataloging, and lineage — sufficient to partner effectively with a dedicated governance function.
  • Experience managing both engineering and QA disciplines within a data platform team.
  • Strong communication skills with ability to translate technical platform decisions into business value for non-technical stakeholders.

The salary range for this opportunity is $137,700 to $175,000. Compensation depends on several factors: qualifications, skills, competencies, and experience.
Tivity Health offers a robust benefits package, which includes a competitive salary, company bonus potential, medical, dental, vision, 401k with match, generous paid time off, free gym membership to over 13,000 fitness locations in the US, and other great benefits.
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About Tivity Health® Inc. Tivity Health, Inc. is a leading provider of healthy life-changing solutions, including SilverSneakers®, ForeverFit®, and WholeHealth Living®. We help adults improve their health and support them on life's journey by providing access to in-person and virtual physical activity, social and mental enrichment programs, as well as a full suite of physical medicine and integrative health services. Our suite of services support health plans, employers, health systems and providers nationwide as they seek to reduce costs and improve health outcomes. Learn more at TivityHealth.
Tivity Health is an equal employment opportunity employer and is committed to a proactive program of diversity development.  Tivity Health will continue to recruit, hire, train, and promote into all job levels without regard to race, religion, gender, marital status, familial status, national origin, age, mental or physical disability, sexual orientation, gender identity, source of income, or veteran status.
Originally posted on Himalayas

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