Job Description

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. Were committed to fostering an environment for every teammate thats welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.OverviewAs 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 diverse 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 tomorrowThe 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 cultureAt 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 peoples 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):

• Bachelors or masters 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:Bachelors or masters degree in engineering with a minimum of 16 years experience in engineering. A masters degree in business administration will be a plus.
Export Control Requirements: Not an export control positionEqual 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 worlds most innovative, diverse and inclusive companies. We are proud members of the 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.

Boeing