Associate Data Solutions Architect

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.

Position Overview :

Boeing Test and Evaluation team is currently looking for Associate Data Solutions Architect to join their team in Bengaluru, KA. Data Solutions Architect at Boeing make sure that products at the world's largest aerospace company continue to meet the highest standards. From quality and reliability to safety and performance, their expertise is vital to the concept, design and certifications of a wide variety of commercial and military systems.

Position Responsibilities:

• Contribute to the design, build, and upkeep of data architectures in standard databases and data warehouses
• Translate stakeholder requirements into data models for acquisition and implementation
• Write Python code for ETL/ELT tasks, data validation, and automation
• Build and operate simple, repeatable data pipelines across multi- and hybrid-cloud environments
• Develop and support basic data access APIs to enable reliable data consumption
• Prepare curated datasets and features to support data scientists' analysis and modeling
• Create collection frameworks for structured and unstructured data; address low-complexity data issues
• Implement data quality checks, monitoring, and clear documentation for datasets and pipelines
• Share guidance on data standards, API usage, and Python practices within the team
• Apply automation and CI/CD to Python code, pipelines, and APIs for consistent delivery

EMPLOYER WILL NOT SPONSOR APPLICANTS FOR EMPLOYMENT VISA STATUS.

Basic Qualifications (Required Skills/Experience):

• Hands-on Python experience for data engineering (ETL/ELT scripting, data validation, and automation)
• Working knowledge of SQL and relational databases, including basic data modeling concepts
• Ability to integrate data from multiple sources and formats with attention to data quality
• Experience building simple pipelines and using scripts or basic orchestration to move data
• Familiarity interfacing with RESTful APIs using Python
• Experience preparing datasets and features in collaboration with data scientists
• Understanding of core cloud concepts and working within multi- or hybrid-cloud setups
• Exposure to version control and basic CI/CD workflows (e.g., Git, automated testing)
• Effective communication and collaboration with technical and non-technical stakeholders

Preferred Qualifications (Desired Skills/Experience ) :

• Production experience creating Python-based pipelines and jobs on AWS, Azure, or GCP
• Use of workflow/orchestration tools (e.g., Airflow, Prefect, or Dagster)
• Creation and maintenance of data access APIs or SDKs, including authentication and testing
• Work with modern warehousing/lake house platforms (e.g., Snowflake, Redshift, BigQuery, Databricks, Delta Lake)
• Implementation of CI/CD for data projects (tests, linting, packaging, and deployment for Python code and pipelines)
• Experience with containerization and environment management (e.g., Docker, Conda, Poetry) and infrastructure-as-code (e.g., Terraform, CloudFormation)
• Knowledge of data governance and security practices (e.g., access control, encryption, PII handling)
• Familiarity with streaming or messaging systems (e.g., Kafka, Kinesis, Pub/Sub) and data observability tools
• Ability to create technical documentation and mentor peers on Python, data standards, and API patterns

Typical Education & Experience:

Bachelor or Master degree in Computer Science/ Engineering ( Software / Instrumentation / Electronics / Electrical / Mechanical or equivalent discipline) with 5 to 8 years' experience.

Relocation:

This position does offer relocation based on candidate eligibility within INDIA.

Applications for this position will be accepted until Sept. 19, 2025

Export Control Requirements: This is not an Export Control position.

Relocation

This position offers relocation based on candidate eligibility.

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.