Principal Technical Consultant – Data & Analytics

Role Overview

• Utilize expertise and experience to architect, design, develop and deploy solutions for an array of technologies.
• Drive a collaborative team leading, mentoring and ensuring development efforts are well documented and delivered with quality.
• Own the overall outcome of projects demonstrating high degree of commercial awareness along with exceptional communication skills.
• Lead large engagements with technically complex and politically demanding customers.
• Participate in pre-sales cycle as technical expert including assisting Sales, System Engineers and Professional Services teams to drive open-source and cloud technologies adoption and maturation.

Requirements

• 10+ years of professional technical experience, 5+ years of hands-on Big Data architecture experience
• 5+ years of experience building highly scalable Big Data solutions using Hadoop, Spark, stream processing, and Lambda architecture
• Experience with Big Data administration, pipeline or code optimization, and complex event processing
• Experience implementing complex solutions in large enterprise companies
• Experience working in data platforms & cloud environments (AWS and / or Azure), Snowflake, Databricks
• Strong client-facing communication and facilitation skills
• Customer facing role for min. of 7+ years
• 7+ years designing, securing and deploying large-scale applications and solutions
• Experience with one of the major cloud vendor environments (development, access, migration)
• Effectively communicate with, and present to all levels of the organization
• Proven presentation and negotiating skills
• Diplomatic approach able to facilitate issue resolution
• Subject matter expert in open-source and cloud technologies
• Architect level development skills in at least one development language (ex. Java, Python, etc.)
• Architect level development skills in at least one messaging protocol (ex. Kafka, RabbitMQ, JMS, etc.)
• Recognized expertise in at least one area within the organization
• Demonstrate deep expertise across multiple technologies
• Able to articulate trade-offs between architectural approaches
• Strong skills integrating third party tools/technologies
• Strong project and situational awareness
• Strong attention to detail
• Self-starter
• Able to travel of at least 25%

Tech Stack

• AWS
• Azure
• Cloud
• Hadoop
• Java
• Kafka
• Python
• RabbitMQ
• Spark

Benefits

• Medical, Dental, and Vision Insurance
• 401(k)
• Paid company holidays
• Paid time off
• Paid parental and caregiver leave
• Plus more! See benefits https://www.aheadbenefits.com/ for additional details.