Responsibilities

• Design, develop, and implement scalable data pipelines and associated processes using Google Cloud Platform (GCP) services
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
• Build and maintain data architecture to support the new data product
• Optimize and enhance data processing workflows for performance, reliability, and scalability
• Ensure data quality, integrity, and security throughout the data lifecycle
• Monitor and troubleshoot data pipelines and systems to ensure smooth operation
• Document technical specifications, processes, and workflows for future reference and knowledge sharing

Qualifications

• Experience
• Realtime and batch data integration development experience using GCP services
• Experience extracting, transforming, and loading data from various types of sources
• Demonstrated ability to lead projects and teams, with experience as a technical lead or similar leadership role
• Preferred: financial services industry experience
• Technical skills
• SQL
• Google BigQuery
• Google Cloud Data Pipeline Tools (such as Google Cloud Datastream, DataFlow etc.)
• Google Cloud Composer
• Google Cloud Run
• GitHub
• Python
• Teraform

Preferred

• DBT Open Source
• Google Pub/Sub
• Salesforce data integration experience
• Oracle/SQL server data integration experience
• Soft Skills
• Exceptional communication and interpersonal skills, with the ability to engage and influence business stakeholders
• Strong personality and polished presence, capable of driving collaboration and alignment across teams
• Thought leadership and ability to inspire teams and stakeholders in data transformation initiatives
• Work Environment
• Familiarity with Agile methodologies, including participation in daily stand-ups and iterative development cycles
• Ability to work effectively in a fast-paced, collaborative prefer