Principal Architect - Data Architecture & Engineering

• Advice and support Application teams (product managers, architects, business analysts, and developers) on tools, technology, and methodology related to the design and development of applications that have large data volume and variety of data types

• Collaborate and align withEARB, Cloud Infrastructure, Securityand other technology leaders on Enterprise Data Architecture changes

• Ensure scalability, reliability, and performance of data platforms by implementing best practices for architecture, cloud resource optimization, and system tuning.

• Collaboration with RunOps engineers to continuously increase our ability to push changes into production with as little manual overhead and as much speed as possible.

Basic Qualifications and Experience

• Masters degree with 8 - 10 years of experience in Computer Science, IT or related field OR

• Bachelors degree with 10 - 14 years of experience in Computer Science, IT or related field

Functional Skills:

Must-Have Skills:

• 8+ years of experience in data architecture and engineering or related roles with hands-on experience building enterprise data platforms in a cloud environment (AWS, Azure, GCP).

• 5+ years of experience in leading enterprise scale data platforms and solutions

• Expert-level proficiency with Databricks and experience in optimizing data pipelines and workflows in Databricks environments.

• Deep understanding of distributed computing, data architecture, and performance optimization in cloud-based environments.

• Experience with Enterprise mindset / certifications like TOGAF etc. are a plus.

• Highlypreferred to have Big Tech or Big Consulting experience.

• Solid knowledge of data security, governance, and compliance practices in cloud environments.

• Must have exceptional communication to engage and influence architects and leaders in the organization

Good-to-Have Skills:

• Experience with Gen AI tools in databricks

• Experience with unstructured data architecture and pipelines

• Experience working with agile development methodologies such as Scaled Agile.

Professional Certifications

• AWS Certified Data Engineer preferred

• Databricks Certificate preferred

Soft Skills:

• Excellent analytical and troubleshooting skills.

• Strong verbal and written communication skills

• Ability to work effectively with global, virtual teams

• High degree of initiative and self-motivation.

• Ability to manage multiple priorities successfully.

• Team-oriented, with a focus on achieving team goals

• Strong presentation and public speaking skills.