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Chase · 3 weeks ago

Lead Software Engineer - Data & Analytics Platform, Databricks, Terraform

545 Washington Blvd, Jersey City, NJ, 07310, US

Full-time

Onsite

Senior Level, Lead/Staff

$152K/yr - $215K/yr

5+ years exp

Chase is seeking a Lead Software Engineer for their Corporate Technology Data Analytics Platform team. In this role, you will enhance and deliver technology products, partner with engineering teams to drive architecture, and enable Databricks capabilities, while focusing on hands-on development and scaling data lake capabilities.

BankingFinancial Services

Responsibilities

Partner with engineering and central platform teams to enable and scale core data lake capabilities on Databricks across ingestion, processing, governance, cataloging, quality, lineage, access, and consumption

Pilot and evaluate new tools and services; run Proof of concepts, define selection criteria and success metrics, and integrate successful solutions into the platform

Operate within Agile SDLC; coordinate with stakeholders and provide clear updates on progress and priorities

Drive performance, scalability, and reliability through capacity planning, stress testing, and performance tuning

Document best practices, guardrails, patterns, and runbooks; maintain a knowledge base and onboarding materials for broader Corprate Data & Analytics Platform engineers’ reference and understanding

Explore agentic solutions and tools to improve automation, developer experience, and operational efficiency

Logs metrics, tracing; reliability and Site Reliability Engineering practices

Qualification

Cloud data engineeringAWSDatabricksKubernetesPythonSQLTerraformAgile methodologiesAutomationSite Reliability Engineering

Required

Formal training or certification on software engineering concepts and 5+ years applied experience

Hands on experience in cloud data engineering and platform engineering with hands-on enablement of data platform capabilities

Strong hands on expertice in AWS, VPC design, subnets, routing, security groups, NACLs, Transit Gateway, PrivateLink

Proficiency in Kubernetes (EKS) and AWS ECS expertise; containerization, orchestration, and workload scaling

Advanced in one or more programming language(s) such as Python and SQL

Hands on experience and proficiency in Databricks experience (Unity Catalog, Delta Lake) and familiarity with Lakehouse patterns

Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, including

Proficiency in automation and continuous delivery methods CI/CD and Infrastructure as Code (Terraform or CloudFormation); automated testing and release pipelines