At Nexus, we help organizations turn complex data into clear, actionable insight — so the hard work behind artificial intelligence, analytics, and cloud infrastructure doesn’t slow innovation down… it accelerates it.
We’re a team of builders, problem-solvers, and collaborators who believe in moving fast, learning continuously, and doing great work together. Our role is to handle the heavy lifting of modern data platforms, governance, and cloud transformation so our clients can focus on making confident, strategic decisions that move their businesses forward.
We’re proud of the culture we’re building across the U.S. and India — one rooted in curiosity, ownership, collaboration, and care — and we’re excited to keep growing with people who want to do meaningful work alongside genuinely great teammates.
The Data Engineering Manager will lead distributed teams responsible for designing, modernizing, and operating large-scale data pipelines on the NexusOne platform — an open-source-based data and AI control plane for regulated enterprise environments.
This leader combines hands-on technical depth with strategic delivery management, ensuring that complex data workloads are refactored, migrated, and optimized using modern, composable frameworks.
The role requires strong architectural intuition, proven leadership, and fluency in modern data-engineering technologies.
Lead and mentor teams of Big Data Developers, Data Engineers, and Platform Specialists to deliver scalable data solutions.
Define and enforce standards for data quality, governance, performance, and security.
Oversee the design and migration of data pipelines, orchestration frameworks, and ingestion flows to the NexusOne platform.
Collaborate with Platform and Solution Architects to ensure alignment with the “North Star” architecture.
Implement CI/CD practices, code reviews, and deployment automation for all data workloads.
Develop reusable frameworks, patterns, and best practices to accelerate platform adoption.
Drive continuous improvement through performance optimization, automation, and observability.
Engage with stakeholders across engineering, architecture, and operations to align priorities and ensure on-time delivery.
Distributed Data Systems: Deep expertise in Apache Spark (core, SQL, streaming) and Airflow orchestration.
Open-Source Data Stack: Hands-on with Iceberg, Trino/Presto, Hive, NiFi, and Kafka.
Data Modeling & Transformation: Strong command of SQL, DBT, and schema-on-read design principles.
Programming & Scripting: Proficiency in Python, Scala, and Java for data pipeline development.
Infrastructure & Automation: Practical experience with Kubernetes, Terraform, Helm, GitLab CI/Jenkins, and Linux-based environments.
Governance & Security: Familiarity with Ranger, DataHub, RBAC, and enterprise IAM/SSO integration.
Data Quality & Testing: Working knowledge of Great Expectations or similar validation frameworks.
Delivery Leadership: Proven ability to manage distributed engineering teams in Agile/DevOps settings.
8–12 years of experience in data engineering or platform modernization, including 3+ years leading technical teams.
Strong foundation in open-source and hybrid-cloud data ecosystems.
Demonstrated success leading migration or modernization programs at enterprise scale.
Excellent communication and stakeholder-management skills; capable of bridging executive vision and technical execution.
Delivery of high-performing, production-ready data pipelines on the NexusOne platform.
Consistent adherence to governance, quality, and performance SLAs.
Adoption of standardized frameworks and automation across engineering teams.
Measurable improvement in pipeline reliability, cost efficiency, and developer productivity.
High engagement, retention, and growth within the data-engineering team.
At Nexus, we value people who want to grow — and support each other while doing so.
You can expect:
A collaborative team culture built on curiosity and respect
Challenging work where your contributions clearly matter
A leadership team that invests in learning and development
The opportunity to work at the intersection of cloud, data, and AI innovation
If this role sounds like a great fit — or even close to one — we’d love to hear from you. We know that no candidate checks every single box, and we’re excited to meet people who bring curiosity, talent, and a desire to build meaningful work together.
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