Job description

About the Role We are looking for a Manager, Data Engineering & Analytics to own the architecture, delivery, and evolution of our enterprise data platform. This is a hybrid leadership and hands-on role: you’ll manage a team of data engineers while staying close to the data modeling, pipeline architecture, and business automation work that keeps the platform running. You will act as the bridge between business stakeholders and technical execution — scoping requirements, architecting scalable solutions in Google BigQuery and dbt, orchestrating integrations through SnapLogic, and overseeing our Tableau environment. Responsibilities Team Leadership & Agile Delivery Manage and mentor a team of data engineers, providing regular feedback, technical coaching, performance reviews, and career development support. Own the team’s Jira board and lead Agile/Scrum ceremonies, including backlog grooming, sprint planning, task estimation, and delivery tracking. Build a culture of technical excellence, accountability, clear documentation, and continuous learning. Data Architecture, Engineering & Business Automation Architect and maintain our data transformation layer in dbt, ensuring modular, tested, and well-documented data models. Manage and optimize our enterprise data warehouse in Google BigQuery, including performance tuning, cost management, and access controls. Build and monitor ELT pipelines and automated workflows using SnapLogic and REST APIs to connect core SaaS platforms and enterprise systems. Design and run proof-of-concepts to evaluate emerging technologies and architectural enhancements. Platform Administration & Governance Administer Tableau, including server/site governance, user permissions, licensing, performance monitoring, and content promotion. Establish and champion best practices for data modeling, version control (Git), CI/CD, and technical documentation. Ensure data integrity, reliability, and security compliance across all ingestion and reporting layers. Business Partnership & Stakeholder Engagement Partner directly with cross-functional business leaders to translate strategy into technical data roadmaps and actionable user stories. Coordinate User Acceptance Testing (UAT) and validate data deliverables alongside business partners. Maintain SOPs and data dictionaries to drive data literacy across the organization. Qualifications Required: 5 years in Data Engineering, Analytics Engineering, or Enterprise Data Solutions. 2 years of formal people management, or demonstrated experience leading engineering squads, sprint planning, and managing backlogs in Jira. Production-level experience designing, optimizing, and managing a cloud data warehouse (Google BigQuery or Snowflake preferred). Advanced dbt experience — architecting and deploying projects using macros, tests, incremental models, and documentation. Hands-on experience building integrations using an enterprise iPaaS (e.g., SnapLogic, Workato, Fivetran, Boomi) and third-party REST APIs. Hands-on experience administering a modern BI platform (Tableau user management, data sources, and site administration preferred). Proven ability to communicate technical trade-offs to non-technical business partners and document complex, end-to-end data workflows. Preferred: Experience with Python or another scripting language for data pipelines and automation. Certifications such as dbt Certified Developer, GCP Professional Data Engineer, or Tableau Certified Administrator. Background in data governance and security compliance frameworks (SOC 2, GDPR) and data quality monitoring. Experience integrating AI/LLM tools into data workflows — e.g., connecting platforms via Model Context Protocol (MCP), or building with Claude/Gemini APIs for automation, documentation, or analytics use cases. What You’ll Bring A strong sense of ownership across both the technical roadmap and the people delivering it. Comfort operating at the intersection of platform architecture, integration engineering, and BI administration. The judgment to know when to be hands-on and when to delegate, coach, and let the team lead. A collaborative, documentation-first mindset that scales knowledge beyond any one person. Why Join Us You’ll shape the next stage of our data platform — from warehouse architecture to the integrations and dashboards the business relies on every day — while building and growing a team around you. Plan for Success First 30 Days: Team Integration & Operational Takeover During your first month, you will focus on integrating with the team, building relationships, and establishing an operational rhythm. People Leadership: Take ownership of conducting regular 1:1 meetings with your direct reports and begin leading the team s twice-weekly stand-up sessions. Operational Management: Assume responsibility for sprint planning directly from the work backlog and map out existing team workflows. Technical Familiarization: Begin a deep dive into learning the team s current technology and tool stack. First 60 Days: Stakeholder Engagement & Tool Fluency By the second month, you will expand your scope to own external alignment and solidify your technical foundation. Stakeholder Management: Take ownership of leading stakeholder engagement and requirements gathering for incoming projects. Technical Proficiency: Achieve a strong, practical working knowledge of the team’s entire tool stack to effectively guide technical execution. First 90 Days: Strategic Contribution By the end of your first quarter, you will transition from day-to-day execution to driving long-term impact. Strategic Roadmap: Move beyond daily operations to contribute directly to the team s strategic direction and process improvements. End-to-End Ownership: Fully own the stakeholder relationship and project lifecycle from initial intake to final delivery. Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint. As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-max, USD): $104,500 - $176,174.00 Base salaries for employees based in other locations are competitive for the employee’s home location. Benefits Overview 1. Health and wellness coverage: Medical, dental, and vision insurance 2. Disability coverage: Short-term and long-term disability 3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D) 4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children 5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account 6. Financial security: 401(k) Savings and Investment Plan with company matching 7. Time off benefits: Flexible vacation policy 8. Holidays: 8 paid holidays annually 9. Sick leave 10. Parental support: Paid parental leave 11. Employee Assistance Program (EAP) and Care Counselors 12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options 13. Health Savings Account (HSA) with employer contribution SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.

Requirements

Must-haves

Responsibilities Team Leadership & Agile Delivery
Manage and mentor a team of data engineers, providing regular feedback, technical coaching, performance reviews, and career development support.
Own the team’s Jira board and lead Agile/Scrum ceremonies, including backlog grooming, sprint planning, task estimation, and delivery tracking.
Build a culture of technical excellence, accountability, clear documentation, and continuous learning.
Data Architecture, Engineering & Business Automation
Architect and maintain our data transformation layer in dbt, ensuring modular, tested, and well-documented data models.
Manage and optimize our enterprise data warehouse in Google BigQuery, including performance tuning, cost management, and access controls.
Build and monitor ELT pipelines and automated workflows using SnapLogic and REST APIs to connect core SaaS platforms and enterprise systems.
Design and run proof-of-concepts to evaluate emerging technologies and architectural enhancements.
Platform Administration & Governance
Administer Tableau, including server/site governance, user permissions, licensing, performance monitoring, and content promotion.
Establish and champion best practices for data modeling, version control (Git), CI/CD, and technical documentation.

Nice-to-haves

Production-level experience designing, optimizing, and managing a cloud data warehouse (Google BigQuery or Snowflake preferred).
Hands-on experience administering a modern BI platform (Tableau user management, data sources, and site administration preferred).
Experience with Python or another scripting language for data pipelines and automation.
Certifications such as dbt Certified Developer, GCP Professional Data Engineer, or Tableau Certified Administrator.
Background in data governance and security compliance frameworks (SOC 2, GDPR) and data quality monitoring.
Experience integrating AI/LLM tools into data workflows — e.g., connecting platforms via Model Context Protocol (MCP), or building with Claude/Gemini APIs for automation, documentation, or analytics use cases.
What You’ll Bring A strong sense of ownership across both the technical roadmap and the people delivering it.
Comfort operating at the intersection of platform architecture, integration engineering, and BI administration.
The judgment to know when to be hands-on and when to delegate, coach, and let the team lead.
A collaborative, documentation-first mindset that scales knowledge beyond any one person.
Why Join Us You’ll shape the next stage of our data platform — from warehouse architecture to the integrations and dashboards the business relies on every day — while building and growing a team around you.
Plan for Success

Application prep

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Keywords to mirror

agilejirascrumrestci/cdpythongcpaillm

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave

Wellness