Associate Data Solutions Architect

Company:

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. Boeings team is committed to innovating for the future leading with sustainability and cultivating a culture based on the companys 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 peoples 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 worlds 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.

Language Requirements:

Education:

Relocation:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift: