Sailpoint
Manager, Data Engineering & Analytics
Headquarters (Austin, Texas, USA) · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$11,294 more — $115,794 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $115,794 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Houston-Pasadena-The Woodlands, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
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.
- We are looking for a Manager, Data Engineering & Analytics to own the architecture, delivery, and evolution of our enterprise data platform.
Responsibilities
- 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.
- 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.
Requirements
- 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.
- Experience with Python or another scripting language for data pipelines and automation.
- Comfort operating at the intersection of platform architecture, integration engineering, and BI administration.
- Required:
- 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.
- Proven ability to communicate technical trade-offs to non-technical business partners and document complex, end-to-end data workflows.
- Preferred:
- 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
Nice to have
- 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).
Compensation
- We estimate the base salary, for
- US-based employees, will be in this range from (min-max, USD):
- Holidays: 8 paid holidays annually
Benefits
- 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.
- Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
- Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
- Health Savings Account (HSA) with employer contribution
- Flexible vacation policy
- Parental support: Paid parental leave
- Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability.
Equal opportunity
- equal opportunity employer and we welcome all qualified candidates to apply to join our team.
This listing is sourced directly from Sailpoint's careers page and normalized into a canonical job model.