Experienced Cloud Solution Architect

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Overview
As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing's team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company's core values of safety, quality and integrity.

Technology for today and tomorrow
The Boeing India Engineering & Technology Center (BIETC) is a 5500 engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace.

People-driven culture
At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people's careers and being thoughtful about employee wellbeing.

With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace.

Enterprise AI & Data is looking for Experienced Cloud Solution Architect to help build cloud-based Data Products. This position will focus on supporting the Boeing Information Digital Technology & Security (IDT&S) goals of developing cloud native applications/adopting multi-cloud strategy.

Position Responsibilities:

• Hands-on experience in understanding aerospace domain specific data

• Execute the strategy to build highly reliable and scalable data and analytics platforms to ensure the business requirements are met

• Build quality checks across the data lineage and responsible in designing and implementing different data patterns.

• Create and implement repeatable and reusable frameworks for delivering Data and AI solutions

• Establish architecture best practices, along with comprehensive standards and guidelines, to ensure adherence across the organization

• Must have experience in building self-service capabilities to users.

• Has experience of building impactful or outcome-based solutions/products.

• Must have clear understanding of defining data products and monetizing.

• Conduct hands-on Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) to address critical capability needs, facilitating effective decision-making processes

• Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings and cross team alignments

• Demonstrated ability to establish working relationship with vendors (Technology and Consulting), Partners and cross teams and holding them accountable

• Stay up to date with the latest trends and best practices in Cloud and Data architecture tools and technologies

• Experience to design and develop end-to-end ETL pipelines using Python, SQL to process structured and unstructured data from various sources including APIs, S3, and SFTP.

Basic Qualifications (Required Skills/Experience):

• Bachelor's degree or higher as Basic Qualification

• 10 Years of experience as Data Engineer

• Strong understanding of Datawarehouse concepts, datalake, datamesh.

• Familiar with ETL tools and Data ingestion patterns

• Hands on experience in building data pipelines.

• Hands on experience in writing complex SQL (No- SQL is a big plus)

• Hands on experience with data pipeline orchestration tools

• Hands on experience on Data Modelling

• Experience in working with Global teams with global mindset.

• Experience working on Agile projects and Agile methodology in general

• Excellent problem solving, communications, interpersonal and leadership skills

• Exceptional presentation, visualization, and analysis skills

• Ability to understand and comprehend complex environments and systems

• Inquisitive by nature and keen to figure out how things work

Typical Education & Experience:

• Bachelor's degree or higher with 10 years of relevant experience (or an equivalent combination of education and experience

Applications for this position will be accepted until Aug. 17, 2025

Education

Bachelor's Degree or Equivalent Required

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

Not a Shift Worker (India)

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world's most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.