Principal Solution Architect

• Work with different project and application groups to drive growth of the Enterprise Data Platform using effective written/verbal communication skills, and lead demos at different roadmap sessions

• Overall management of the Enterprise Data Platform on AWS environment to ensure that the service delivery is cost effective and business SLAs around uptime, performance and capacity are met

• 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.

• Maintain knowledge of market trends and developments in data integration, data management and analytics software/tools

• Work as part of team in a SAFe Agile/Scrum model

Basic Qualifications and Experience:

• Masters degree with 12 - 15 years of experience in Computer Science, IT or related field OR

• Bachelors degree with 14 - 17 years of experience in Computer Science, IT or related field

Functional Skills:

Must-Have Skills:

• 8+ years of hands-on experience in Data integrations, Data Management and BI technology stack.

• Strong experience with one or more Data Management tools such as AWS data lake, Snowflake or Azure Data Fabric

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

• Strong experience with Python, PySpark, and SQL for building scalable data workflows and pipelines.

• Experience with Apache Spark, Delta Lake, and other relevant technologies for large-scale data processing.

• Familiarity with BI tools including Tableau and PowerBI

• Demonstrated ability to enhance cost-efficiency, scalability, and performance for data solutions

• Strong analytical and problem-solving skills to address complex data solutions

Good-to-Have Skills:

• Preferred to have experience in life science or tech or consultative solution architecture roles

• 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.