Data Engineering Manager, Data BP – USDS

TikTok USDS Joint Venture; Seattle (WA); In loco; USD 198.000 - 416.000; Tempo pieno

Vantaggi offerti da questo lavoro

In-person work 5 days/week

Competitive compensation

Descrizione del lavoro

TikTok USDS Joint Venture LLC is seeking a Tech Lead Manager for the Data BP team in Seattle. You will lead a team of data engineers, own end-to-end delivery of data solutions, and partner with Product, Analytics, Data Science and Engineering to translate business requirements into scalable platforms.

The role focuses on building robust data pipelines, ensuring data governance, performance, and cost efficiency, while communicating complex concepts to technical and executive audiences.

Competenze

• 5+ years of experience in building and scaling enterprise-grade data platforms.
• 3+ years of experience in engineering leadership or engineering management overseeing technical teams in a cross functional and fast-paced environment.
• Hands-on experience with big data processing and distributed storage engines such as Hadoop, Spark, Flink, Druid, ClickHouse.
• Deep understanding of modern data architectures, including data lakes, data warehouses and lakehouse patterns.
• Strong proficiency in SQL and Python for data processing and analytics.
• Excellent communication, interpersonal, and stakeholder management skills.

Mansioni

• Lead and manage a team of data engineers, fostering a culture of technical excellence, ownership and continuous improvement.
• Oversee project management and cross functional collaboration ensuring high quality delivery across project lifecycle.
• Design and build scalable big data platforms, pipelines and services supporting large-scale batch and real-time data processing.
• Define and drive architecture standards, including data modeling, pipeline design and data quality frameworks to ensure trusted datasets.
• Own end-to-end delivery of data solutions from design through development, testing, deployment and optimization.
• Partner with Product, Analytics, Data Science and Engineering teams to translate business requirements into scalable data solutions.
• Define key metrics and leverage data to measure performance, guide prioritization and support decision making.
• Optimize large-scale data processing systems for performance, scalability, reliability and cost efficiency.
• Establish strong execution practices, including planning, prioritization and delivery governance across multiple initiatives.
• Ensure compliance with data governance, privacy and security standards in all data solutions.
• Communicate technical concepts and data insights effectively to both technical and executive audiences.

Conoscenze

Data Engineering Leadership

Big Data Processing

SQL

Python

Cross-functional Collaboration

Formazione

Bachelor's degree in CS/Engineering

Strumenti

Hadoop

Spark

Flink

Druid

ClickHouse

Descrizione del lavoro

Responsibilities

Team Introduction: The Data BP team on Data Platform USDS is focused on ensuring the stability, reliability, scalability and risk management of TikTok's US data processing ecosystem. We maintain and operate both batch and streaming pipelines for multiple vertical businesses such as TikTok, TikTok Shop, TikTok Live while simultaneously adhering to strict data compliance standards. We collaborate with a host of internal teams to better enable user experience by delivering high quality at scale.

As a Tech Lead Manager in the Data BP team, you will have the opportunity to lead a team of data engineers in maintaining, optimizing and scaling one of the world's largest data platforms that directly supports TikTok app in the US. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.

• Lead and manage a team of data engineers, fostering a culture of technical excellence, ownership and continuous improvement.
• Oversee project management and cross functional collaboration ensuring high quality delivery across project lifecycle.
• Design and build scalable big data platforms, pipelines and services supporting large-scale batch and real-time data processing.
• Define and drive architecture standards, including data modeling, pipeline design and data quality frameworks to ensure trusted datasets.
• Own end-to-end delivery of data solutions from design through development, testing, deployment and optimization.
• Partner with Product, Analytics, Data Science and Engineering teams to translate business requirements into scalable data solutions.
• Define key metrics and leverage data to measure performance, guide prioritization and support decision making.
• Optimize large-scale data processing systems for performance, scalability, reliability and cost efficiency.
• Establish strong execution practices, including planning, prioritization and delivery governance across multiple initiatives.
• Ensure compliance with data governance, privacy and security standards in all data solutions.
• Communicate technical concepts and data insights effectively to both technical and executive audiences.

Qualifications

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering or related technical field, or equivalent experience.
• 5+ years of experience building and scaling enterprise-grade data platforms in large scale distributed data systems with at least 3+ years of experience in engineering leadership or engineering management role overseeing technical teams in a cross functional and fast-paced environment.
• Hands on experience in building scalable data solutions with big data processing and distributed storage engines such as Hadoop, Spark, Flink, Druid, ClickHouse etc.
• Deep understanding of modern data architectures, including data lakes, data warehouses and lakehouse patterns.
• Strong proficiency in SQL and Python(or equivalent language) for data processing and analytics.
• Excellent communication, interpersonal, and stakeholder management skills.

Preferred Qualifications

• Experience optimizing large-scale data systems for performance and efficiency.
• Ability to influence data strategy and drive alignment across cross-functional teams.

About USDS

TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.

On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

USDS Reasonable Accommodation

USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $198360 - $416100 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.