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Urgent! Principal Software Engineer - Ad Platform Job Opening In San Francisco – Now Hiring Disney Entertainment and ESPN Product & Technology

Principal Software Engineer Ad Platform



Job description

Job Summary:

We are seeking a Principal Software Engineer with extensive experience in the Databricks platform and advanced big data engineering practices.

This role involves architecting and implementing scalable, secure, and high-performing data solutions to power the Ad Platforms Data platform and support mission-critical data initiatives, including real-time and batch processing pipelines.

As a hands-on technical leader, you will design data architectures that scale to handle terabytes-per-hour throughput, ensuring optimal performance, compliance, and alignment with business needs.

You will play a pivotal role in guiding teams, collaborating across departments, and driving innovation.

Responsibilities:

Technical Leadership and Architecture

  • Architect and implement highly scalable, secure, and efficient ETL/ELT pipelines for both real-time and batch data processing.

  • Design complex, multi-source data ecosystems and ensure seamless integration with tools like Databricks, Delta Lake, and Snowflake.

  • Optimize data pipelines and workflows for performance, cost, and reliability, leveraging cutting-edge tools like Airflow, Spark, Flink, and Databricks Delta Sharing.

  • Lead the adoption of best practices in data warehousing, lakehouse architecture, and metadata management.

  • Champion data security, privacy, and governance, implementing frameworks for lineage tracking, cataloging, and compliance (., SOx, GDPR, CCPA).

  • Drive implementation of Unity Catalog for data governance and cross-account querying.

  • Platform Development and Operational Excellence

  • Able to assist in the set up and manage AWS environments, including S3, IAM Roles, Network Peering, and other infrastructure components.

  • Oversee Airflow integration with Databricks Spark clusters, manage user access, and implement robust secret management solutions.

  • Lead the CI/CD process with gated code releases, ensuring code quality and scalable deployment processes.

  • Implement innovative solutions, from the exciting to the mundane; such as Databricks UniForm (Iceberg, Delta) format integration with Snowflake and basic tools to support cost projection, etc.

  • Data Engineering and Optimization

  • Optimize Spark Streaming and ETL workflows, leveraging deep expertise in Spark performance tuning.

  • Ensure best practices in data ingestion, transformation, and loading, focusing on highly performant and governed data models.

  • Drive improvements in Delta Lake ecosystems and lakehouse architecture, including Delta Sharing for distributed querying.

  • Collaboration and Communication

  • Collaborate closely with cross-functional teams, including Ad Server architects, to align on data strategies and designs.

  • Foster open communication during architectural discussions, confidently defending decisions while welcoming feedback.

  • Bridge the gap between diverse team requirements and technical capabilities to deliver cohesive, scalable solutions.

  • Innovation and Mentorship

  • Stay ahead of emerging trends in big data technologies, cloud platforms (AWS, Azure, GCP), and distributed computing.

  • Mentor engineers and architects, fostering a culture of innovation, knowledge sharing, and technical excellence.

  • Basic Qualifications

  • Bachelor’s or Master's degree in Computer Science, Software Engineering or related technical discipline is highly desirable

  • 10+ years of experience in software engineering with a focus on big data platforms.

  • Proven expertise in building scalable systems capable of processing terabytes of data per hour.

  • Hands-on experience with Databricks, Spark, Flink, Airflow, and Delta Lake ecosystems.

  • Proficiency in Python (including PySpark), Java, or Scala.

  • Extensive knowledge of data warehousing, data lakes, and real-time streaming systems.

  • Hands-on experience with AWS cloud services and data solutions (., S3, Redshift, Athena, IAM).

  • Deep understanding of data compliance (., SOX, GDPR) and governance.

  • Strong skills in data lineage, cataloging, and metadata management.

  • Preferred Qualifications

  • Experience in the media advertising domain, including linear and digital Ad Sales.

  • Expertise with tools like ERStudio, ERWin, Alation, or Collibra for metadata management.

  • Familiarity with Iceberg format integration and other modern data formats.

  • Certifications in Databricks, AWS, or relevant big data technologies.

  • Ability to manage/lead a team of high-performing data engineers and architects.

  • Strong curiosity about how Disney delivers the Magic and a desire to be a part of it

  • #disneytech


    The hiring range for this position in Los Angeles, CA is between $184,300 – $247,100 year and San Franscico, CA is between $201,900 - $270,700 and Seattle, WA is between $193,100 - $258,900.

    The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.

    A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.


    Required Skill Profession

    Computer Occupations



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