Lead Data Architect

Job Description

Job Title: Principal Data Engineer/ Azure Data architect

Location: Remote with few days/Month onsite travel (Expenses will be paid)

Duration: 06 months or contract to hire or Perm FTE

US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time”

Summary

* Azure Data architect or engineer who is extremely hands on. Python, SQL, Databricks, and exposure to AI or MLOps or has worked on an AI ready infrastructure product.
* Role will be 60-70% strategy vs 30-40% hands on data engineering
* Energy, Utilities background would be nice to have
* Security clearance will be needed in future for certain projects

Job details

Principal Data Engineer

* We are seeking a Data Engineer to support a client in the energy regulatory sector.
* Prior experience or familiarity with the energy industry is highly desirable. In this role, you will lead a dedicated team of five, overseeing the day-to-day delivery of a key workstream.

Strong expertise in:

– Data Centralization Strategies

– Data Integration APIs

– ETL/ELT Pipeline Development

– Data Warehousing (e.g., Azure, Redshift, Snowflake)

– Cross-functional Collaboration – working with technical and non-technical stakeholders

– System Design Thinking – architecting scalable and maintainable data solutions

* This is a leadership position requiring both strategic oversight and hands-on technical guidance.
* We strive to work in a collaborative and supportive environment.
* We look for people who can work flexibly and enjoy working as part of a team.
* Strategic thinking and creative problem solving are key skills, as is the love of continuously learning and sharing knowledge.

Qualifications:

* Demonstrated success in launching data-driven digital products and services at scale.
* 10-12+ years of experience in data engineering, with 3+ years in a technical leadership role.
* Your story/portfolio reflects a solid foundation in using data and applying data engineering to solve business problems. Your work to solve these is an appropriate mix of pioneering and pragmatic.
* 3+ year team management experience through project accountability.
* Proven experience in architecting and optimizing large-scale, real-time data platforms in cloud environments.
* Mastery of distributed data processing systems, real-time analytics platforms, and ETL frameworks (e.g., Kafka, Spark, Flink).
* In-depth knowledge of cloud technologies such as AWS, Azure, or Google Cloud, with a focus on data storage, processing, and analytics.
* Strong coding skills in Python, Java, or Scala, with the ability to contribute to and review complex codebases.
* Excellent communication and leadership skills, with a proven ability to drive innovation and technical excellence within a team.
* Firm understanding of GenAI and MLOps, and an ability to own and present an informed perspective.