Join Boeing India as a Lead Data Architect

Company: Boeing India Private Limited

Job ID: 00000429292

Date Posted: 2024-06-19

Location: Bangalore, India

Job Description and Qualifications

Company Overview

Boeing is a leading global aerospace company, renowned for developing, manufacturing, and servicing commercial airplanes, defense products, and space systems for over 150 countries. As the top U.S. exporter, the company leverages a global supplier base to promote economic opportunity, sustainability, and community impact. Boeing’s diverse team focuses on innovation, sustainability, and a safety, quality, and integrity-driven culture.

Technology for Today and Tomorrow

The Boeing India Engineering & Technology Center (BIETC) boasts a diverse engineering workforce of over 5500 employees, working on cutting-edge R&D, innovation, and high-quality engineering in global markets. Utilizing technologies like AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, our team is shaping the future of aerospace.

People-Driven Culture

At Boeing, creativity and innovation thrive when employees are trusted, empowered, and have the flexibility to choose, grow, learn, and explore. We offer flexible work arrangements and promote collaboration, frequent team engagements, and face-to-face meetings to benefit from diverse perspectives. We are committed to positively shaping employee careers and wellbeing, ensuring inclusivity, diversity, and a transformative approach to work.

Immediate Opening: Lead Data Architect

We are currently looking for a Lead Data Architect based in Bangalore, India.

Role and Responsibilities

• Implement a data mesh strategy across various platforms, clouds, and regions while ensuring strong security and governance.
• Collaborate with multiple teams to deliver solutions on the Azure Cloud using tools like Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Big Data technologies.
• Design and implement data architectures, data pipelines, and data integration solutions.
• Ensure data quality, data governance, and data security practices are executed effectively.

Position Requirements

• Define, design, develop, and test software components/applications using Microsoft Azure tools.
• Strong SQL skills with experience in handling structured and unstructured datasets.
• Experience in Data Modeling, Advanced SQL techniques, and data orchestration tools.
• Good exposure to Application Development and independent work ethics.

Basic Qualifications

• Bachelor’s or master’s degree in engineering with a minimum of 16 years of experience.
• 12+ years of professional experience, including 4+ years in high-scale, Big Data, Datalakehouse Solutions.
• 4+ years in data modeling, schema design patterns, and modern data access patterns.
• 2+ years in a leadership role, interacting with customers and managing a technical data backlog with excellent interpersonal skills.
• 2+ years with Databricks and the Spark framework.
• 2+ years of building data applications, microservices, and APIs using languages like Python, Scala, or equivalent.
• 2+ years with SQL and complex queries.
• Experience with Azure Data Services is highly desired; strong experience with AWS or other major cloud platforms will be considered in lieu of Azure.

Key Skills

• Python, SQL, Pyspark
• Big Data Ecosystem (Hadoop, Hive, Sqoop, HDFS, Hbase)
• Spark Ecosystem (Spark Core, Spark Streaming, Spark SQL) / Databricks
• Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse)

Note: Employer will not sponsor applicants for employment visa status.

Typical Education

Bachelor’s or master’s degree in engineering with a minimum of 16 years of experience in engineering. A master’s degree in business administration is a plus.