Principal Data Engineer

Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams [based in New York, Charlotte, Atlanta, London, Bengaluru, and remote] work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.

Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.

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. You will also collaborate closely with leads from two parallel workstreams, ensuring alignment on cross-team dependencies and cohesive project delivery. Your workstream's core objective is to centralize data to enable AI functionality and seamless software integration across systems. As such, we are looking for someone with strong expertise in:

• Data Centralization Strategies
• Data Integration APIs
• ETL/ELT Pipeline Development
• Data Warehousing (e.g., Azure, Redshift, Snowflake)

In addition to technical skills, the ideal candidate will bring strong soft skills in:

• 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.

At Method, 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 at Method, as is the love of continuously learning and sharing knowledge. 

Travel for team and client meetings is required, typically up to 15%.

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.
• Proven track record of leading large, complex projects involving real-time data processing, ETL pipelines, and data warehousing.
• Effective time management skills to balance multiple project demands with fast-paced deadlines.
• Have generated statements of work, new business pursuits and project definitions, and are able to spot opportunities for account growth.
• Great interpersonal skills and the ability to galvanize and inspire others.
• Team player as well as have the capacity to mentor and champion others.
• Have a chosen area of expertise tied to an industry, domain or skill that is of great value in a client setting.
• Ability to contribute to the brand and voice of Method through thought leadership and content creation.
• Ability to manage multi-million-dollar data projects and budgets.

Why Method?

We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.

We believe in work/life balance. Seriously. We offer a ton of competitive perks, including:

• Continuing education opportunities 
• Flexible PTO and work-from-home policies 
• 401K matching
• Health, Dental and Vision benefits, starting on day 1
• Company lunches, company outings, along with a lot of snacks 
• Health and wellness programs 
• Other location specific perks (just ask!)

Next Steps

If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform.

* For information on how we process your personal data please see Privacy.

* If you are a California resident, more details on how we process your personal information can be found in the CCPA Recruitment Privacy Notice (https://www.globallogic.com/privacy/ccpa-recruitment-privacy-notice/)"

Colorado Applicants (Colorado Equal Pay for Equal Work Act Disclosure):  The starting salary range for this role to be performed in Colorado is estimated to be between  $172,000 to $189,000 annually.  This salary range is specific to Colorado residents only, and provided as a general estimate.  The amount offered may be higher or lower. Method  takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations. 

New York City Applicants (New York City Local Law 32;  Pay Transparency Law):  The starting salary range for this role to be performed in New York City is from $189,000 to $209,000. This salary range is specific to New York City residents only, and provided as a general, good faith estimate. The amount offered may be higher or lower. Method takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.