Level AI Company Overview
Founded in 2019, Level AI is a Series C startup based in Mountain View, California, specializing in transforming contact centers into strategic assets through AI-driven insights. Our platform leverages advanced technologies like Large Language Models to enhance customer engagement, providing organizations with actionable intelligence to improve customer experience and growth. We are committed to staying at the forefront of AI innovation, offering a highly adaptive and industry-leading solution.
Position Overview
We are seeking an experienced Principal Software Engineer to lead the design and development of our data warehouse and analytics platform. This role involves elevating engineering standards across our entire technology stack, including applications, platform, and infrastructure. The successful candidate will collaborate with team members and the broader engineering community to develop scalable, high-performance systems, act as a technical thought leader, and mentor junior engineers. Close collaboration with product managers and stakeholders is essential.
Core Competencies
* Data Modeling: Designing data warehouse schemas (star and snowflake schemas), including fact and dimension tables, normalization, and denormalization techniques.
* Data Warehousing & Storage Solutions: Experience with Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse Analytics.
* ETL/ELT Processes: Expertise with tools like Apache NiFi, Airflow, Informatica, Talend, dbt.
* SQL Proficiency: Advanced skills for complex queries, indexing, and optimization.
* Programming Skills: Strong in Python or Java for data pipelines and transformations.
* Data Integration: Experience with real-time tools like Apache Kafka, Spark, AWS Glue, Fivetran, Stitch.
* Data Pipeline Management: Workflow automation with Airflow, Luigi.
* APIs and Data Feeds: Knowledge of API-based data aggregation.
Responsibilities
* Design and implement analytical platforms with insightful dashboards.
* Develop and maintain data warehouse schemas supporting efficient data access.
* Manage data propagation from source databases to warehouses, ensuring accuracy and timeliness.
* Design scalable, extensible architectures to meet future needs.
Minimum Requirements
* Qualification: B.E/B.Tech/M.E/M.Tech/PhD from top-tier engineering institutes with relevant industry experience.
* 9+ years of backend and infrastructure experience, including system architecture and development.
* Hands-on experience with large-scale databases, messaging systems, and real-time job queues.
* Proficiency in navigating complex large-scale systems and codebases.
* Proven track record of building high-scale data platforms.
* Deep expertise in data warehouse schema design.
* Experience with data movement, transformation, and integration tools.
* Ability to implement best practices in scalable data architecture.
* Leadership experience in mentoring and guiding engineering teams.
Nice to Have
* Experience with Google Cloud, Django, Postgres, Celery, Redis.
* Some exposure to AI infrastructure and operations.
Compensation is market-leading, based on skills and aptitude. Learn more at our website. Funding details can be found at Crunchbase. Connect with us on LinkedIn. Watch our platform in action: YouTube .
#J-18808-Ljbffr