Team Lead JAVA

Team Lead – Advanced Data Systems Delivery Location: Pune

Employment Type: Full-Time

The Team Lead for Advanced Data Systems Delivery will lead a team responsible for 

delivering high-performance, scalable data solutions, with a focus on designing and 

optimizing data architectures for mission-critical Tier 1 systems. compliance with NFRs and SLAs, while maintaining a strong foundation in data 

Project Leadership & Delivery: 

• Lead the end-to-end delivery of advanced data systems for mission-critical Tier 1 

applications, focusing on revenue management and other high-impact use cases. 

• scalability, performance, availability, security) 

Data Architecture Leadership: 

• Architect and oversee the implementation of robust, scalable, and secure data 

Design data models, schemas, and storage solutions (e.g., data lakes, data 

warehouses, NoSQL databases) optimized for performance, scalability, and 

Implement and optimize ETL/ELT pipelines, ensuring efficient data ingestion, 

transformation, and integration across distributed systems. 

• Ensure data governance, integrity, and security standards are maintained across 

all data architectures.

Team Management: 

• Manage, mentor, and inspire a team of data engineers, architects, and 

performance engineers, fostering a culture of technical excellence and 

Provide technical guidance on data architecture, advanced data systems, and 

Conduct performance reviews, set team goals, and support career development 

Oversee the deployment of high-scale, mission-critical systems handling real-time 

(compute, storage, network) to meet performance and 

Optimize data processing frameworks (e.g., and databases (e.g., SQL, NoSQL) for low latency, high throughput, and reliability. 

• Lead investigations into performance regressions, scalability issues, or system 

failures, ensuring rapid resolution and root cause analysis.

requirements into technical solutions with a focus on robust data architectures. 

• system design, performance, and data architecture goals. 

• Communicate project progress, risks, and performance metrics to senior 

Design and implement data architectures that support scalability, fault tolerance, 

Ensure data pipelines are optimized for performance, leveraging the ArcOne AI 

Advocate for simplicity and rigor in system and data architecture design to 

address complex performance and scalability challenges.

Define and enforce best practices for advanced data systems delivery, data 

architecture, CI/CD pipelines, and performance testing strategies. 

• Develop and monitor SLAs/SLOs for latency, throughput, data availability, and 

Stay updated on industry trends in advanced data systems, data architecture, and 

Bachelor's or Master's degree in Computer Science, or a related field. 

Experience: 

• 7+ years of experience in delivering advanced data systems or similar solutions, 

with at least 3 years in a leadership or team lead role. 

• Extensive experience in designing and implementing data architectures for large-scale, distributed systems, including data modeling, ETL/ELT pipelines, and 

data lakes, data warehouses). 

• Deep knowledge of performance tuning for data processing frameworks (e.g., 

Apache Kafka, Spark, Hadoop, Flink) and databases (e.g., SQL, NoSQL, data lakes). 

• scalability, availability, performance, security) 

Experience in revenue management or similar domains (e.g., Proficiency in programming languages such as Python, Java, or Scala. 

• Expertise in data processing technologies (e.g., Flink) and cloud platforms (e.g., AWS, Azure, GCP). 

• Strong experience with data architecture tools and platforms, including data 

ERD, dimensional modeling), data lakes (e.g., and data warehouses (e.g., Proficiency with performance profiling tools (e.g., Deep understanding of OS internals, networking, storage, and compute 

GPU utilization, memory management). 

• Experience with containerization (e.g., Docker, Kubernetes) and data 

TensorFlow, PyTorch) for optimizing data-driven solutions is a plus.

Exceptional leadership, communication, and stakeholder management skills. 

• Experience with the ArcOne AI platform for system design and optimization. 

• Familiarity with agile methodologies and tools like Jira or Trello. 

• Certification in cloud platforms (e.g., AWS Certified Solutions Architect), data 

engineering, or data architecture (e.g.,

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