Resilinc Logo

Resilinc

Senior Data Engineer

Reposted One Month Ago
Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
Design, build, and operate scalable batch and real-time data pipelines and analytics platforms. Partner with enterprise customers to define requirements, own technical delivery from discovery to adoption, and present architectures to stakeholders. Drive data governance, observability, CI/CD, and platform optimization while mentoring junior engineers and collaborating with Product, Engineering, and Customer Success teams to enable analytics and AI/ML applications.
The summary above was generated by AI
Join the Future of Supply Chain Intelligence — Powered by Agentic AI 
 
At Resilinc, we’re pioneering intelligent, autonomous systems that redefine supply chain risk management. Our agentic AI helps global enterprises predict disruptions, assess impact, and act in real time — before operations are affected. Named a 2025 Gartner® Magic Quadrant™ Leader, we’re trusted by top companies in life sciences & pharma, aerospace & defense, high tech, and automotive to protect what matters most. Be part of a team that's redefining resilience on a global scale.
 
But the real power behind Resilinc? Our people. We’re a fully remote, mission-led team making sure life-saving products and critical goods get where they’re needed, fast. We offer the chance to do meaningful work in a collaborative, empowering culture—where you can be an agent of change. Join us to tackle critical global challenges through high-impact work that matters.
 
Check out this blog to learn more about how we are impacting the world's most critical supply chains. Global Supply Chain Risks 2026: Act Faster | TEC 
 
Resilinc | Innovation with Purpose. Intelligence with Impact. 

At Resilinc, our mission is to make supply chains more resilient through visibility, AI-powered monitoring, and predictive analytics. Our platform is trusted by leading global enterprises to anticipate, assess, and respond to supply chain disruptions.

We are looking for a Senior Data Engineer who combines expertise in modern data platforms with strong customer engagement skills. This role operates at the intersection of Data Engineering, Product, Engineering, and Customer Success, partnering directly with enterprise customers to design, build, and scale data solutions that power business-critical applications and analytics.

What You'll Do

    Customer Engagement & Solution Ownership

    • Partner directly with enterprise customers and business stakeholders to understand data challenges, define requirements, and deliver scalable solutions.
    • Own technical delivery for customer engagements from discovery and solution design through implementation and adoption.
    • Help customers maximize the value of Resilinc’s data and analytics capabilities through effective solution design and execution.
    • Present technical architectures, implementation plans, and business outcomes to both technical and executive audiences.
    • Data Platform & Pipeline Engineering

      • Design, build, and maintain scalable batch and real-time data pipelines and data products using Databricks, ClickHouse, Python, and distributed data processing frameworks.
      • Architect modern cloud-native data platforms leveraging Databricks, Delta Lake, Azure Data Services, and distributed processing technologies.
      • Develop robust ETL/ELT frameworks, data models, and data quality monitoring processes.
      • Optimize data storage, query performance, scalability, reliability, and cost efficiency across large-scale datasets.
      • Build and maintain data products that enable analytics, reporting, operational workflows, and AI/ML applications.
      • Engineering Leadership & Collaboration

        • Collaborate closely with Product, Engineering, Solutions Consulting, and Customer Success teams to deliver customer outcomes.
        • Drive best practices in data governance, security, observability, reliability, and operational excellence.
        • Contribute to architecture decisions, technical design reviews, and platform evolution.
        • Mentor junior engineers and contribute to engineering best practices.

What You'll Bring

    Core Qualifications

    • BE/MS in Computer Science, Information Technology, Engineering, or a related field.
    • 5+ years of experience in data engineering, data platform development, or related disciplines.
    • Strong experience with Databricks, Apache Spark, Delta Lake, or similar distributed data processing technologies.
    • Experience with cloud-based data platforms and services, including Azure (preferred) or equivalent cloud ecosystems.
    • Experience designing and operating analytical data platforms using ClickHouse or similar high-performance analytical databases.
    • Advanced proficiency in Python and SQL, with strong software engineering fundamentals.
    • Experience building scalable ETL/ELT pipelines, orchestration workflows, and modern data architectures.
    • Strong understanding of data modeling, data warehousing, and analytics platform design.
    • Experience implementing CI/CD, infrastructure automation, and DevOps practices for data platforms.
    • Excellent communication and stakeholder management skills, with the ability to translate business requirements into technical solutions.
    • Ability to navigate ambiguity, drive outcomes independently, and succeed in customer-facing environments.

What Will Make You Stand Out

    • Experience in a Forward Deployed Engineer (FDE), Solutions Engineer, Solutions Architect, Technical Consultant, or customer-facing engineering role.
    • Experience working with Supply Chain, Logistics, Manufacturing, or Enterprise SaaS platforms.
    • Familiarity with data governance, lineage, metadata management, and data catalog solutions.
    • Experience with Infrastructure as Code tools such as Terraform.
    • Exposure to AI/ML platforms, feature engineering pipelines, and data infrastructure supporting Generative AI applications.
    • Experience designing and operating real-time data processing systems and streaming architectures.
    • Demonstrated ability to mentor engineers and lead technical initiatives across teams.

What's in it for you?
 
At Resilinc, we’re fully remote, with plenty of opportunities to connect in person. We provide a culture where ownership, purpose, technical growth and a voice in shaping impactful technology are at our core. Oh, and the perks? Full-stack benefits for health, wealth and wellbeing to keep you thriving. Check in with your talent acquisition contact for a location-specific FAQ.
 
Curious to know more about us? Dive in at www.resilinc.ai 
 
More great news! Resilinc is backed by Vista Equity Partners
 
 
 
        

Similar Jobs

Yesterday
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Designs and optimizes scalable data ingestion pipelines for product telemetry and enterprise business data. Builds automated pipelines using Fivetran, Python, APIs, S3 lakehouse architectures, Kafka, Spark, and Snowflake. Applies advanced SQL, incremental loading, CDC, micro-batching, and rate-limit handling to support reliable, analytics-ready datasets. Implements CI/CD and DevOps practices, monitors pipeline performance, and partners with analysts and platform teams to rapidly deliver data solutions.
Top Skills: Amazon S3SparkBulk ApisCdcCi/CdDevOpsFivetranKafkaPythonSnowflakeSQLVersion Control
4 Days Ago
Easy Apply
Remote or Hybrid
India
Easy Apply
Senior level
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Leads cybersecurity data-source onboarding and integration for Zscaler’s security platform. Builds and automates Python/API-based data transformations, maps and normalizes security data, manages pipeline lifecycle activities, troubleshoots data quality, and identifies security gaps. Partners with cybersecurity SMEs and cross-functional teams to create implementation plans, communicate technical findings, and provide product improvement feedback. The role requires expertise in security platforms, diverse security-tool integrations, data modeling, SQL, and Python.
Top Skills: Ai/MlAPIsCloud LogsCmdbCnappCspmEdrPythonSIEMSQLUnified Vulnerability Management
6 Days Ago
In-Office or Remote
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the technical evolution and long-term architecture of Jira Data Management. Drive enterprise-scale data movement, governance, resiliency, reliability, performance, security, and observability initiatives. Own a 12–24 month platform roadmap, lead major architectural programs from strategy through delivery, conduct design and incident reviews, solve high-risk technical problems, and mentor senior and principal engineers across Jira Platform.
Top Skills: AWSData Streaming PlatformsDistributed SystemsEvent-Driven ArchitectureGCPGoIaasJavaJavaScriptJira CloudPaasPythonSaaS

What you need to know about the Delhi Tech Scene

Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account