Resilinc Logo

Resilinc

Senior Data Engineer

Posted 21 Days 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

Resilinc is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

If you are a person with a disability needing assistance with the application process please contact [email protected].
 
        

Similar Jobs

5 Days Ago
In-Office or Remote
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead and execute data engineering initiatives: define metrics, instrument logging, ingest and model data, build ETL/ELT pipelines, ensure data quality and governance, optimize processing performance, enable analytics/visualization, and lead projects that drive product and business strategy.
Top Skills: Anomaly DetectionDashboardingData ModelingData QualityData VisualizationEltETLLoggingProduct AnalyticsPythonRelational DatabasesSQL
Yesterday
In-Office or Remote
Hinjawadi, Pune, Mahārāshtra, IND
Senior level
Senior level
Fintech • Financial Services
Designs and delivers scalable data architectures and end-to-end solutions. Builds ETL pipelines using AWS, Spark, Scala, and big data technologies; contributes to technical design and implementation; collaborates with business and engineering teams; supports Agile delivery; promotes engineering best practices; and ensures secure, highly available solutions meet governance and risk standards.
Top Skills: SparkAWSHadoopHiveHugging FaceLangchainLlamaOracle SqlPl/SqlPythonScalaTeradata
3 Days Ago
Remote
India
Senior level
Senior level
Consulting
Design and optimize enterprise data models and pipelines integrating SAP Core, PostgreSQL, MySQL and legacy systems. Implement data cataloging, lineage and metadata management. Tune SQL and database performance, build ETL/ELT pipelines, and collaborate with architects and global teams to deliver scalable data architecture for a new strategic initiative.
Top Skills: AirflowApache AtlasAWSAzureAzure Blob StorageCollibraData VaultDatabricksDbtDbt DocsEtl/EltIn-House DmsMicrosoft PurviewMySQLOcrOpenmetadataPostgresS3Sap CoreSparkSQL

What you need to know about the Chennai Tech Scene

To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account