Resilinc
via Lever
Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 46d ago
The date the source published, not the day we noticed it (2026-07-30). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
lever employer's own board first seen 38d ago · last seen just now
The listing
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
- 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.
- 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.
- 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.
Customer Engagement & Solution Ownership
Data Platform & Pipeline Engineering
Engineering Leadership & Collaboration
What You'll Bring
- 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.
Core Qualifications
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.