Delivery Lead: Java Backend & Microservices Architect

Accenture; Northern (KY); Hybrid; USD 61,000 - 74,000; Full time

Job summary

Accenture is seeking a Delivery Lead to guide end-to-end delivery for client engagements, ensuring quality, efficiency, and on-time performance. You will manage cross-functional teams, drive solutions, and identify follow-on opportunities through up-selling or cross-selling.

You will design, develop, and maintain backend systems using Scala, build scalable microservices, and implement real-time data processing with Kafka and Spark, while aligning with business goals and customer expectations.

Qualifications

• Minimum 4 years of experience in Java development.
• Minimum 4 years of experience in Databricks SQL.
• Associates Degree or greater.
• Advanced proficiency in Snowflake.
• Advanced proficiency in Python, Data Modeling, and SQL.

Responsibilities

• Lead end-to-end delivery or a defined component of a contract to meet commitments.
• Collaborate with teams to manage delivery outcomes and identify opportunities for follow-on work.
• Design, develop, and maintain backend applications using Scala.
• Build scalable and resilient microservices architectures.
• Develop RESTful APIs and event-driven applications.
• Implement real-time data processing with Kafka and Spark.
• Mentor team members to achieve milestones and develop skills.
• Analyze delivery metrics to optimize resources and timelines.
• Lead risk management and mitigation efforts.

Skills

Java development

Scala

Databricks SQL

Kafka

Spark

REST APIs

Microservices

Python

Education

Associate degree or higher

Tools

Snowflake

Job description

Accenture is seeking a Delivery Lead to guide end-to-end delivery for client engagements, ensuring quality, efficiency, and on-time performance. You will manage cross-functional teams, drive solutions, and identify follow-on opportunities through up-selling or cross-selling.

You will design, develop, and maintain backend systems using Scala, build scalable microservices, and implement real-time data processing with Kafka and Spark, while aligning with business goals and customer expectations.