Lead Data Architect

Boeing

IND - Bangalore, IndiaSenior17-20 years

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Lead Data Architect

Company:

Boeing India Private Limited

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.

Find your future with us

Boeing Defense and Space Analytics team is looking for a Lead Data Architect to architect, develop and maintain data products for the next generation at scale. In this position the candidate is expected to be a hands-on architect with strong expertise in data architecture, data system design, analytics and data governance. The candidate should have expertise in tools/technologies like Palantir Foundry and AWS Lakehouse. Strong fundamentals are needed in Apache Spark, Distributed Systems, Data Modelling Techniques, Dimensional Modelling (Star & Snowflake design), Data vault design patterns, SQL, Python, & Lakehouse Medallion architecture.

In this role, you will be a thought leader in how to design, implement, manage, and scale data platform applications in support of the BDS Data Analytics Platform leveraging modern cloud architecture design, hybrid cloud technologies, data migration technologies, and others.

This role requires a resourceful, self-driven, outcome-oriented individual with meticulous attention to detail and the ability to partner, execute, and communicate skillfully, while solving complex problems in dynamic environments. The ideal candidate will have experience with large scale data platforms, cloud computing, hybrid clouds, software development, and requirements management. Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. And experience working in cross-functional teams and leading technical projects is required.

This position will be in the Bangalore, India.

Position Responsibilities:

Estimate user stories/features (story point estimation) and tasks in hours with the required level of accuracy and commit them as part of Sprint Planning
Raise any impediments/risks they come across and approaches Scrum Master accordingly to arrive at a solution.
Performs comparative analysis, cost-benefit analysis and trade studies to evaluate and recommend design best practices.
Influences program decision makers to use appropriate computational tools and processes.
Transforms raw data into actionable insights, enabling informed decision-making and driving business growth, Develops and maintains ontologies within Palantir Foundry’s ontology layer
Model ontologies and canonical data types; define relationships and package structures for consumption by analytical applications
Ensure application observability: logging, metrics, tracing, and structured error handling
Participate in sprint activities, perform code reviews, and maintain CI/CD pipelines for application artifacts
Define and maintain the enterprise data architecture strategy. Design data models, data flows, and integration patterns
Establish standards for data storage, governance, quality, and security
Collaborate with business stakeholders, engineers, analysts, and leadership
Ensure data solutions support analytics, reporting, AI/ML, and operational needs
Lead architecture reviews and approve data design decisions
Optimize data pipelines, warehouses, lakes, and metadata management
Support compliance with privacy, regulatory, and security requirements

Employer will not sponsor applicants for employment visa status.

Basic Qualifications (Required Skills/Experience):

Strong experience in data architecture, data modeling, and lakehouse design
Strong analytical and problem-solving skills. Knowledge of cloud data platforms such as AWS
Experience with modern analytical design like Ontologies framework using Palantir Foundry
Familiar with Palantir Workshop, Foundry, Quiver & Contour toolsets
Understanding of data governance, master data management, and metadata management
Proficiency in SQL and familiarity with modern data tools and frameworks
Experience with relational, NoSQL, and distributed data systems
Ability to translate business requirements into technical data solutions

Preferred Qualifications: (Desired Skills/Experience)

Strong leadership, communication, and stakeholder management skills
Strong distributed system, cloud architecture, cloud warehouse (Redshift or Bigquery) concepts
Solid experience in Performance tuning in large scale cloud data implementations
Should have demonstrated ability to work in AGILE environment.
Familiar with data regulations like ITAR, GDPR, data tagging and anonymization

Typical Education & Experience:

Typically, 17-20 years related work experience or Relevant military experience. advanced degree (eg. Bachelor,Master, etc), preferred, but not required.

Relocation: