Principal Data Engineer at Hasbro

Pawtucket, Rhode Island, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Lake, Data Warehousing, ETL, ELT, DBT, Spark, Airflow, Confluent Kafka, AWS, Azure, SQL, Python, CI/CD, Infrastructure-as-Code, Data Governance, Real-Time Data Processing, Event-Driven Architectures

Industry

Manufacturing

Description

This leadership role is crucial in shaping the architecture, design, and delivery of scalable, high-performance data solutions that power analytics, machine learning, and operational workloads across the organization. This Principal Data Engineer will serve as a technical leader, mentor, and strategic partner - guiding cross-functional teams through complex data initiatives and ensuring alignment with our long-term data strategy. You will partner closely with data scientists, analysts, platform engineers, and collaborators to create resilient and future-ready data pipelines and systems. 5+ years of hands-on experience in data engineering or a related field, with at least 3 years in a lead or principal role. Expert knowledge in: Data Lake & Warehousing: Snowflake, Databricks (Delta Lake), or equivalent ETL/ELT & Transformation: DBT, Spark Orchestration: Airflow, Databricks Asset Bundles Streaming: Confluent Kafka, Kafka Streams, or equivalent Cloud Platforms: Strong experience with AWS and Azure Strong proficiency in SQL and Python Familiarity with CI/CD and infrastructure-as-code principles. Proven track record of leading multi-functional technical initiatives and mentoring engineers. Proficiency in integrating AI solutions into new and existing technologies to improve efficiency, streamline operations, and elevate the consumer experience is required. Self-starter with a passion and curiosity for solving unstructured data problems and ability to manipulate and optimize large data sets. Knowledge of metadata management, data lineage, and principles of data governance. Hands-on experience with real-time data processing and event-driven architectures Excellent written and verbal communication skills - experience working with business and senior leaders. Bachelor's or master's degree in computer science, information systems or related field. Architect and Design: Lead the architectural design and development of scalable data pipelines and systems End-to-End Data Ownership: Oversee the entire data lifecycle—from ingestion to consumption—ensuring quality, reliability, and performance. Technology Leadership: Drive best practices in our stack, including Snowflake, DBT, Airflow, Confluent Kafka, and Databricks, across AWS and Azure cloud platforms. Mentorship and Guidance: Provide technical leadership and mentorship to data engineers; establish coding standards, conduct peer reviews, and promote knowledge sharing practices. Lead and participate in pull request reviews to uphold engineering standards and mentor contributors. Innovation & Strategy: Evaluate emerging technologies and make recommendations to enhance our data infrastructure and strategy.

Responsibilities

Lead the architectural design and development of scalable data pipelines and systems while overseeing the entire data lifecycle from ingestion to consumption. Drive best practices in technology and provide mentorship to data engineers.