Manager, Data Engineering and Platform

OneTrust
United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$153,750.0 - $230,625.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Business Analytics Applications Computing Platforms Data Architecture Data Validation Data Control Information Engineering Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Raw Data Software Tools
+7 more
SQL Databases Snowflake Data Strategy Build Management Information Technology User Identification Databricks

Job description

As Senior Manager, Data Engineering and Platform you will be a people leader of a team of Data Engineers responsible for creating platform and data engineering architecture for business intelligence and data science solutions. This role will have a substantial focus on coaching and people management alongside a strong individual contributor component in hands-on data engineering.

Your Mission

You will work closely with other team members like data architects and business analysts to understand what the business is trying to achieve, move data from source to target, and design optimal data models.

  • Develop and adhere to standard methodologies: platform architecture, data engineering, data quality, analysis, validation to ensure the team provides quality work to company and build trust with analytics solutions.

  • Propose and socialize data architecture to enable OneTrust business analytics.

  • Drive technical conversations with stakeholders to explore all facets of problem and solution.

  • Solve immediate production issues with an eye to solve things for long-term.

  • Work with vendors and security teams for appropriate data controls.

  • Partner with cross functional teams to align on product usage data, business data, development standards and overall data strategy.

  • Design and build facts, dimensions, snapshots, SCDs in Snowflake/Databricks using dbt/airflow/elt tools. Maintain robust, trusted data models.

  • Hire and retain top data engineering talent.

  • Assist in the growth of each employee through coaching and career development activities., When you join OneTrust you are stepping onto a launching pad - the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career.

Requirements

Seeking someone who can leverage a deep technical understanding of data engineering, data warehousing, and data architecture while leading and motivating an on-call team of engineers in a challenging, dynamic environment.

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • 10+ years of professional data engineering experience. Acting as an incident commander during critical outages.

  • Extensive experience with data architecture, tool evaluations, data modeling, and building ETL pipelines.

  • Experience working in high-growth, fast-paced environment.

  • Experience working with distributed teams across geos.

  • Experience evaluating new data engineering tools and enriching existing architecture.

  • Strong data warehouse knowledge and ability to write complex SQL for processing raw data, data validation, and QA.

  • Experience with Python and manipulation of various data formats for extraction and transformation.

Extra Awesome

  • Experience using AI in a data engineering context

  • Experience managing distributed teams across geos.

  • Experience in designing Data Warehouse: ACV, ARR, Event History, Identity Resolution, Deferred Revenue, Revenue Metrics, Experimentation, Audience

  • Growth Learner: Desire to continue to learn about the future architecture of data technologies.

For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.

Benefits & conditions

As an employee at OneTrust, you will be part of the OneTeam. That means you’ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers. Resources

Check out the following to learn more about OneTrust and its people:

  • OneTrust Careers on YouTube
  • @LifeatOneTrust on Instagram

About the company

OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down-it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI-Ready Governance Platform , unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.

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