Lead Data Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Lead Data Engineer (AI): Defining and driving the technical vision for data engineering, leading the design of scalable, high-impact data platforms, pipelines, and models with an accent on architecture and business impact. Focus on aligning data strategy with business priorities, establishing engineering standards, and elevating data quality and accessibility across the enterprise.
Location: This role is open to candidates based in or near Austin, TX.
Salary: $136,500 — $180,600 USD
Company
is the AI-first hybrid observability platform powering the next generation of digital infrastructure.
What you will do
- Define and drive the architecture of scalable, reliable data pipelines that power analytics and data products across the organization.
- Establish and enforce engineering standards to optimize pipelines, frameworks, and data systems for performance, cost efficiency, and developer velocity.
- Lead the design of data models and transformation layers that convert raw, disparate data into trusted, high-quality, and reusable datasets.
- Own complex data integration challenges, setting patterns and best practices to ensure consistency, scalability, and resilience across systems.
- Architect and evolve the organization’s data compute and storage platforms, balancing performance, scalability, and cost at enterprise scale.
- Define and maintain enterprise data architecture standards, documentation, and reference models to guide long-term platform evolution.
Requirements
- 6+ years extensive experience designing and scaling data platforms, pipelines, and models in distributed environments.
- Expert in SQL and Python, driving engineering standards, performance optimization, and best practices.
- Proven ownership of modern data stack architecture (e.g., Airflow, Snowflake, dbt), including orchestration, transformation, and governance.
- Strong expertise in cloud-based data systems with a focus on scalability, reliability, and cost efficiency.
- Experience enabling AI/ML use cases and building data foundations for advanced analytics.
- Must be authorized to work in the United States on a full-time, permanent basis without requiring new or initial employer-sponsored work authorization.
Culture & Benefits
- Dedicated to trust, customer obsession, agility, and striving to be better everyday.
- Foster a culture of performance and recognition.
- Comprehensive health, dental and vision coverage, generous parental leave policies, access to our Employee Assistance Program and various Wellness programs.
- 401K with company matching, a Lifestyle Spending Account, and an unlimited vacation policy.
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