Lead Data Engineer at S&P Global

Position Summary

• The Technology, Media, and Telecommunications business line seeking an adept, architecturally minded Lead Data Engineer. The candidate has experience translating business needs into a vision of what should be built. This means skillfully choosing and deploying big data technologies and infrastructure building frameworks atop to facilitate autonomous use, and abstracting production solutions so they feel like “magic” for your stakeholders such that things “just fall into place.” As the Lead Data Engineer, you have a diversity of software development experience rather than a single tool suite or paradigm.
• You are hands-on, data-driven, and highly collaborative. You should enjoy being "full stack" in the sense that you own a product from beginning to end by designing, constructing, integrating, testing, documenting, and supporting your creations. You have a passion for engineering best-practices and the ability to lucidly communicate with fellow engineers as well as non-technical colleagues. You will present and communicate team status to the Technology leaders and Executive team.

Job Responsibilities
You should be able to demonstrate that you have an outstanding knowledge and hands-on experience in the below areas:

• Assume technological and administrative responsibilities for a focused team
• Provide (thought) leadership in technology direction, technical services, vendor partnership, and industry standards adoption.
• Are “biased to action” and not easily blocked by problems and difficulties, instead taking ownership
• Believe in monitoring, QA, and security as a first-class citizen in any data product.
• Able to understand requirements in context to design solutions, rather than take them at face value.
• Excited to design data platforms and tools that abstract implementation details for developers, analysts, and data scientists, enabling data transit and storage “as a service.”
• Dedicated to automation, documentation, and collaboration at all stages of the engineering workflow.
• Sensitive to the balance of performance and cost with the ability to communicate and optimize for the requirements of each.
• Passionate about mentoring colleagues and educating the organization on data engineering best practices.
• Maintain an excellent understanding of the business long term goals and strategy and ensure that designs are aligned with these - able to see the forest through the trees.

What We're Looking For

• Degree in Computer Science, related field, or equivalent experience.
• Eight (8) or more years of increasing responsibility in technical data roles, with 3 or more years of experience as a data engineer lead.
• Expertise in various big data technologies both open source and cloud native, (Kafka/Kinesis, Spark/EMR, Snowflake, Presto/Athena, Airflow, Hive, Drill, Databricks).
• Expertise in data model design with sensitivity to usage patterns and goals – schema, scalability, immutability, idempotency, etc.
• Mastery of at least two of the following languages – Scala, Python, Java, Go.
• Expertise in the suite of NoSQL models and frameworks.
• Track record of choosing the right transit, storage, and analytical technology to simplify and optimize user experience.
• Real-world experience developing highly scalable solutions using micro-service architecture designed to democratize data to everyone in the organization.
• Able to function autonomously and successfully in ambiguous situations.
• Preferred experience with cloud based system