Senior Architect - Big Data

NorthBay Solutions, a premier US-based AWS partner with over a decade of experience serving clients globally, is seeking a passionate and experienced Senior Architect to join our growing Data Engineering team.

About the Role: In this role, you will play a pivotal role in leading and architecting innovative solutions leveraging AWS Big Data technologies (e.g. S3, Redshift, EMR, Glue). You will collaborate closely with a global, multicultural team of Data Engineers and guiding project execution, ensuring technical excellence, and fostering a culture of continuous learning and supporting sales growth.

Key Qualifications & Required Knowledge:

• 10+ years of experience in technology, with a minimum of 6 years specifically focused on Data Engineering.
• Proven experience developing and implementing ETL pipelines on AWS that extract, transform, and load data for strategic business goals.
• Expertise in ETL Data Engineering using Python, Java, and Big Data technologies (Hadoop, PySpark, Spark SQL, Hive).
• Effective time management skills with a proven ability to manage and prioritize multiple project tasks.
• Experience creating and driving large-scale ETL pipelines in an AWS environment.
• Experience integrating data from diverse data sources.
• Strong software development and programming skills with a focus on data using Python/PySpark or Scala.

Preferred Qualifications (Nice to have):

• Experience with DevOps and CI/CD tools (Bitbucket, Bamboo, Ansible, Sonar, Atlassian suite).
• In-depth knowledge of core AWS services (IAM, CloudFormation, EC2, S3, EMR/Spark, Glue, Lambda, Athena, Redshift).
• Familiarity with popular data management tools (Data Lake, Databricks, Snowflake).
• Understanding of core data science concepts (statistics, modelling, algorithms).
• Experience with AWS AI/ML Services (SageMaker, Ground Truth) for building, training, and deploying machine learning models.
• Working knowledge of AWS infrastructure services (ECS, Cognito, CloudWatch, RDS: Postgres, API Gateway, Lambda) to support data engineering workflows and integrations.
• Acquainted with the value and evolution of Generative AI (GenAI) and its potential applications within the Big Data landscape. 
• Basic familiarity with Amazon Q, a managed generative AI powered chat assistant, and Amazon Bedrock, a serverless service that hosts foundation models.

Technical Responsibilities:

• Design and develop innovative solutions leveraging Big Data technologies (Hadoop, Spark, etc.) to address complex data challenges.
• Architect and build highly scalable and distributed data systems on the AWS cloud platform.
• Design, develop, and manage robust ETL jobs and pipelines to ensure efficient data movement and transformation.
• Deploy production-ready data models, including data ingestion, configuration, resource management, and monitoring.

Leadership and Collaboration:

• Partner with sales to qualify opportunities, develop compelling technical solutions, and respond to RFPs.
• Serve as a thought leader, providing strategic guidance and mentoring junior team members as they leverage new data-driven solutions.
• Foster a culture of continuous learning and improvement by mentoring and training colleagues.
• Collaborate effectively to troubleshoot complex issues and provide timely guidance to team members.

Business Impact:

• Drive impactful business improvements by analysing data, identifying trends, and recommending process optimizations. 

Additional qualities:

• Exceptional communication and English skills.
• Proven leadership.
• Client-facing expertise.
• Technological agility.
• Thrives in a fast-paced environment.
• Analytical & Detail-oriented.
• Self-driven leader.
• Team player.