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Chase · 21 hours ago

Sr Lead Software Engineer - Data Platforms & Insights

1111 Polaris Pkwy, Columbus, OH, 43240, US

Full-time

Onsite

Senior Level, Lead/Staff

5+ years exp

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. As a Senior Lead Software Engineer, the individual will serve as the subject matter expert on various facets of the CCB Data Lake, collaborating with architecture, technology, and product teams to deliver comprehensive insights and advanced analytics.

BankingFinancial Services

Responsibilities

Demonstrate hands-on expertise in AWS data lake publication, governance, consumption, and security

Provide expert leadership to engineers in designing, coding, testing, and delivering AWS data lake solutions

Collaborate on innovative design and develop engineering capabilities for advanced AI/ML data and insights

Code, test, deploy AWS micro-services, event-driven, serverless, and scalable architectures and capabilities

Offer leadership and expertise in AWS software engineering, leveraging agile team processes

Define and implement coding principles, standards, designs, frameworks, and chaos testing for engineering

Build, train, and enhance the skill depth of software engineers to optimize code quality and performance

Exhibit excellent verbal and written communication skills to articulate technical designs effectively

Responsible for leading delivery technology systems globally. The candidate will work closely with regional and global teams to deliver high-quality technology services and projects on time, within scope, and within budget

Qualification

AWS data lake expertiseAWS software engineeringProgramming languages proficiencyDevSecOps practicesAgile methodologiesCI/CD pipeline deploymentsCommunication skillsLeadership skillsCollaboration skills

Required

Formal training or certification on software engineering concepts and 5+ years applied experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services

Demonstrated knowledge of applications or infrastructure in a large-scale technology environment both on premises and public cloud

Demonstrated AWS cloud expertise and hands-on AWS software engineering experience

Hands-on experience with four or more AWS data lake and/or analytics technologies: AWS Lake Formation, AWS Glue, Apache Kafka (MSK), AWS Kinesis, AWS Athena, AWS EMR, AWS ECS, AWS EKS, AWS Fargate, AWS S3, AWS EC2, Apache Iceberg, Snowflake, Databricks

Proficiency in one or more programming languages: Python, Java, or Scala

Proven ability to build self-service, self-healing, highly scalable, and secure cloud software capabilities

Proven expertise with software testing, releasing, CI/CD pipeline deployments, and security in AWS cloud

Demonstrated strength in applying DevSecOps and DevOps development practices

Experienced with Agile development methodologies, processes, and procedures