Lead Data Architect

Lead Data Architect

Company:

Boeing India Private Limited

Job ID:

00000429292

Date Posted:

2024-06-19

Location:

IND - Bangalore, India

Job Description Qualifications:

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 diverse 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+ diverse 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 diverse 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.

At Boeing, we are inclusive, diverse, and transformative.

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.

We have an immediate opening for a Lead Data Architect. This position will be in Bangalore, India.

As a Data Architect, your main responsibility will be to implement a data mesh strategy across various platforms, clouds, and regions while ensuring strong security and governance. You will collaborate with multiple teams to deliver solutions on the Azure Cloud, utilizing core cloud data warehouse tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and other Big Data technologies.

In addition to Azure, experience with Databricks and Spark on other cloud platforms like AWS and GCP is also relevant. This indicates that you have knowledge and expertise in working with distributed computing frameworks and big data processing technologies across different cloud providers.

Your role will involve designing and implementing data architectures, data pipelines, and data integration solutions using these cloud-based tools. You will also need to ensure data quality, data governance, and data security practices are implemented effectively.

Overall, your experience and skills in data architecture, cloud-based data technologies, and working with various cloud platforms will be crucial in successfully implementing data mesh strategies and delivering data solutions in a secure and governed manner.

Position Responsibilities:

• Defines, designs, develops and test software components/applications using Microsoft Azure- (Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS)
• Strong SQL skills with experience.
• Experience handling Structured and unstructured datasets.
• Experience in Data Modeling and Advanced SQL techniques
• Experience implementing Azure Data Factory or any other data orchestration tool using latest technologies and techniques.
• Good exposure in Application Development.
• The candidate should work independently with minimal supervision.

Basic Qualifications (Required Skills/Experience):

• Bachelor’s or master’s degree in engineering is a basic requirement with a minimum of 16 years’ experience.
• 12+ overall years of professional experience including 4+ years’ experience in designing high-scale, Big Data, Datalakehouse Solutions is REQUIRED
• 4+ years of experience with data modeling, schema design patterns and modern data access patterns (including API, streams, data lake) is REQUIRED.
• 2+ years as a proven leader interacting with customers (client facing) to collect requirements and manage a technical data backlog is REQUIRED; therefore, you must have excellent interpersonal skills, both written and spoken, as well as a consultative/collaborative style.
• 2+ years with Databricks and Spark framework are REQUIRED.
• 2+ years of experience building data applications, microservices and/or APIs using Python, Scala or an equivalent language is REQUIRED.
• 2+ years of experience with SQL, knowledgeable in complex queries and joins is REQUIRED.
• 2+ years Azure Data Services including Azure Data Factory, ADLS, and Synapse is HIGHLY DESIRED; strong experience with AWS or other major cloud platform will be considered in lieu of Azure.

Key Skills:

• Python, SQL and 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)

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’ experience in engineering. A master’s degree in business administration will be a plus.

Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world.

Relocation:

Relocation is available for eligible candidates, if authorized

Export Control Requirement:

Not an export control position

Safety Sensitive:

This is not a safety sensitive position

Contingent Upon Award Program

This position is not contingent upon program award

Experience Level:

Individual Contributor - 5

Job Type:

Regular

Job Code:

BA40I5 (BA1)