高级经理，数据工程
Senior Manager, Data Engineering
关于职位
Staritas 正在寻找一位高级数据工程经理，负责领导其企业数据工程职能，包括数据平台战略、路线图执行、现代化改造、生产运维、数据质量、治理和团队发展。
此职位适合一位亲力亲为的数据领导者，能够扩展现代数据平台，提升可靠性，指导技术标准，并与技术、产品、分析、安全、运营及业务团队合作，交付可信赖、安全且业务就绪的数据能力。
主要职责
- 领导并培养一支高绩效的数据工程团队。
- 负责数据工程路线图、交付计划、技术标准和平台可靠性。
- 与 CTO 和技术负责人合作制定数据战略、现代化改造、架构、治理和运营模式。
- 实现可扩展的 ELT/ETL 流水线、数据仓库、数据湖、数据集市、语义层、定制数据集和分析数据产品。
- 建立数据建模、编排、测试、文档、代码审查、CI/CD、监控和生产支持的标准。
- 提升数据质量、可观测性、血缘关系、警报、事件响应和 DataOps 实践。
- 减少技术债务、重复数据集、手动报告、脆弱集成和重复的生产问题。
- 支持人工智能、机器学习、高级分析和自助分析，提供可信赖、受控且安全的数据基础。
- 推动一种以责任、协作、文档和持续改进为核心的文化。
任职要求
- 计算机科学、信息系统、数据工程、工程、数学或相关领域的学士学位；同等经验可接受。
- 10 年以上技术经验，包括数据工程、数据架构、分析工程、集成或企业数据平台交付。
- 5 年以上领导数据工程师、分析工程师、架构师、技术负责人或类似团队的经验。
- 有成功交付企业数据平台、生产数据运维、技术标准和面向利益相关者的路线图的经验。
- 在云数据平台、数据仓库、数据湖/湖仓、数据集市、API、集成和生产支持方面有丰富经验。
- 有构建 ELT/ETL 流水线的实际经验。
- 有使用 Informatica 或类似的企业数据集成平台的经验。
- 强大的 SQL 技能和经验
查看英文原文
About the Role
Staritas is seeking a Senior Manager, Data Engineering to lead its enterprise data engineering function, including data platform strategy, roadmap execution, modernization, production operations, data quality, governance, and team development.
This role is ideal for a hands-on data leader who can scale modern data platforms, improve reliability, guide technical standards, and partner across Technology, Product, Analytics, Security, Operations, and business teams to deliver trusted, secure, and business-ready data capabilities.
Key Responsibilities
- Lead and develop a high-performing data engineering team.
- Own the data engineering roadmap, delivery planning, technical standards, and platform reliability.
- Partner with the CTO and technology leaders on data strategy, modernization, architecture, governance, and operating model.
- Deliver scalable ELT/ETL pipelines, data warehouses, data lakes, marts, semantic layers, curated datasets, and analytical data products.
- Establish standards for data modeling, orchestration, testing, documentation, code review, CI/CD, monitoring, and production support.
- Improve data quality, observability, lineage, alerting, incident response, and DataOps practices.
- Reduce technical debt, duplicated datasets, manual reporting, fragile integrations, and recurring production issues.
- Support AI, machine learning, advanced analytics, and self-service analytics with trusted, governed, and secure data foundations.
- Promote a culture of ownership, accountability, collaboration, documentation, and continuous improvement.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Engineering, Mathematics, or related field; equivalent experience considered.
- 10+ years of technology experience, including data engineering, data architecture, analytics engineering, integration, or enterprise data platform delivery.
- 5+ years leading data engineers, analytics engineers, architects, technical leads, or similar teams.
- Proven experience delivering enterprise data platforms, production data operations, technical standards, and stakeholder-facing roadmaps.
- Strong experience with cloud data platforms, data warehouses, data lakes/lakehouses, data marts, APIs, integrations, and production support.
- Hands-on experience building ELT/ETL pipelines.
- Experience with Informatica or comparable enterprise data integration platforms.
- Strong SQL skills and experience with relational, NoSQL, columnar, and analytical databases.
- Experience with AWS, Azure, Google Cloud, or hybrid cloud environments.
- Knowledge of orchestration, transformation, data modeling, CI/CD, testing, observability, documentation, agile delivery, governance, metadata, lineage, data quality, and secure access.
Preferred Qualifications
- Experience with Informatica IDMC, PowerCenter, Data Quality, or Cloud Data Integration.
- Familiarity with tools such as Spark, PySpark, Airflow, dbt, Databricks, Snowflake, BigQuery, Redshift, Azure Data Factory, AWS Glue, Power BI, GitHub, GitLab, Jira, or Confluence.
- Experience modernizing legacy ETL, fragmented data ecosystems, and manual reporting processes.
- Experience supporting AI, machine learning, predictive analytics, or advanced analytics use cases.
- Experience in regulated, compliance-oriented, SaaS, ERP, CRM, healthcare, financial, or analytics environments.
Success Measures
- Reliable delivery of the data engineering roadmap.
- Improved platform reliability, performance, security, observability, and production support.
- Reduced data quality issues, manual work, duplicated datasets, and recurring defects.
- Clear and adopted data definitions, lineage, documentation, governance, and access patterns.
- Trusted data foundations that support analytics, reporting, operations, product intelligence, and AI.
- An engaged, accountable, and growing data engineering team.
What We Offer
- Competitive salary and performance bonus program
- Fully remote work environment
- Comprehensive benefits package including 401k match
- 19 days of PTO per year; 10 holidays per year
- Opportunity to work in a mission-driven organization where your work directly shapes clarity, confidence, and better outcomes across healthcare
Travel
Up to 10% travel, based on business needs. While our roles are 100% remote, we do get together a few times a year for up to one week. Employees are given amplenoticeand attendance is expected.
Work Environment
This position operates in a professional work environment and requires the use of standard office equipment such as a computer, keyboard, mouse, webcam, and phone.
Equal Opportunity / Affirmative Action Statement
Staritas is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or veteran status.
As a federal contractor, Staritas complies with all applicable federal, state, and local laws regarding nondiscrimination and affirmative action. We are committed to creating a workplace that is fair, inclusive, and grounded in merit-based decision-making.
Accommodation Statement
If you need reasonable accommodation to apply for this position, please contact the recruiter.
Pay Transparency Statement
Staritas posts compensation ranges and benefits for all open roles. The compensation range for this position is $150,000 - $175,000, plus a comprehensive benefits package. Compensation offered will depend on factors including experience, skills, geographic location, and internal equity. Staritas does not retaliate against employees or applicants for discussing compensation.
Benefits Statement
Staritas offers a comprehensive and competitive benefits package designed to support the health, wellbeing, and financial security of our employees. Benefits include medical, dental, and vision coverage; retirement savings plans with company contributions; paid time off and company holidays; paid parental and family leave; and access to employee assistance and wellness resources. Additional benefits include life and disability insurance, professional development opportunities, and flexible work arrangements.
Learn more about us by visitingwww.staritas.com.
Originally posted on Himalayas