---
title: 'Senior Data Engineer at Sumo Logic'
canonical: 'https://feeny.ai/job/senior-data-engineer-sumo-logic-noida-7xsqmwdmms3f'
type: 'job'
last_seen: '2026-11-12'
---

# Senior Data Engineer at Sumo Logic

- **Company:** Sumo Logic
- **Location:** Noida, India
- **Posted:** 2026-11-12
- **Last confirmed live:** 2026-11-12
- **Apply:** https://job-boards.greenhouse.io/sumologic/jobs/8353318

## Job description

Sr Data Engineer-Noida(Hybrid)

We are looking for a highly skilled Senior Data Engineer to design, build, and maintain scalable data pipelines and integrations within our Databricks-based data platform. The role will focus on expanding our data ecosystem by onboarding new data sources, integrating enterprise applications, and delivering reliable, secure, and analytics-ready datasets.

The ideal candidate will have strong hands-on expertise in Databricks, Apache Spark, PySpark, Python, SQL, and Delta Lake, along with experience building production-grade data pipelines and enterprise integrations. Working knowledge of AWS infrastructure and cloud services is important for collaborating with Engineering and other platform teams on connectivity, deployments, and evolving infrastructure requirements.

The candidate will report directly to the Senior Manager - Business Insights & Analytics and collaborate with Data Analytics, Engineering, IT/Cloud, Security, and business stakeholders to deliver scalable and reliable data solutions.

Responsibilities:

- Design, develop, and optimize scalable data pipelines using Databricks, Apache Spark, PySpark, Python, SQL, and Delta Lake.
- Design and implement a medallion architecture (Bronze, Silver, and Gold layers) to deliver trusted, well-structured, analytics-ready datasets.
- Build and maintain integrations with enterprise applications, REST APIs, databases, and other source systems
- Developing reusable ingestion frameworks to accelerate onboarding of new data sources.
- Build reliable batch and near-real-time ingestion pipelines with incremental loads, CDC, schema evolution and error recovery.
- Configure and manage Databricks Workflows and implement ingestion and transformation pipelines using Auto Loader and Lakeflow Spark Declarative Pipelines
- Optimize Apache Spark and Delta Lake workloads using execution-plan analysis, efficient join strategies, data-skew handling, partitioning, and SQL query tuning to improve performance and control compute costs.
- Implement Unity Catalog governance, including access controls, lineage, auditing, and sensitive-data protection through masking and row-level security.
- Maintain and support existing data workflows running on Amazon Redshift and Amazon EC2, collaborating with Engineering and IT/Cloud teams on connectivity, IAM permissions, S3 access, deployments, and operational issues.
- Follow engineering best practices, including version control, code reviews, automated testing, CI/CD, and technical documentation.
- Partner with Data Analytics and business stakeholders to translate requirements into trusted, well-documented, analytics-ready datasets.
- Provide technical guidance to team members and identify opportunities to improve automation, engineering standards, platform reliability, and resource utilization.

Requirements:

- 5+ years of experience in data engineering or a related technical role, including developing and supporting production data pipelines.
- Strong hands-on expertise in Databricks, including developing, troubleshooting, and optimizing production workloads.
- Strong proficiency in Python/PySpark, SQL, and Apache Spark for scalable data processing and transformation.
- Practical experience with Delta Lake, including table management, incremental processing, and performance optimization.
- Experience with data architecture and modeling, including medallion architecture and the development of analytics-ready datasets.
- Experience with Databricks Workflows or equivalent orchestration solutions.
- Proven experience building data ingestion pipelines and integrating REST APIs, databases, and enterprise applications.
- Understanding of reliable data processing patterns, including retries, idempotency, schema evolution, backfills, and failure recovery.
- Working knowledge of AWS services and cloud infrastructure, particularly IAM roles and policies, S3 storage and access management, and secure connectivity between source systems and data platforms.
- Experience with Git/GitHub, code reviews, automated testing, and CI/CD practices.
- Strong problem-solving skills and the ability to independently design, build, deploy, and maintain production data solutions.
- Good communication and collaboration skills to work effectively with Data Analytics, Engineering, IT/Cloud, Security, and business stakeholders.

Desirable:

- Experience with Databricks Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables), Auto Loader, and advanced incremental ingestion patterns.
- Experience implementing Unity Catalog governance, including fine-grained access controls, data lineage, auditing, and sensitive-data protection.
- Experience with Databricks Genie, Genie Agents, and Genie Code
- Experience in AI/ML, Data Science, LLMs, contextualization, Amazon Bedrock

Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit[www.sumologic.com.](http://www.sumologic.com/)

[Sumo Logic Privacy Policy](https://www.sumologic.com/privacy-statement/). Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

## About Sumo Logic

## Company Overview
- **One-liner**: Sumo Logic is a cloud-native AI-powered log analytics and security platform that helps organizations ensure their digital experiences are secure, fast, and reliable.
- **Entity Type**: Private (acquired by Francisco Partners in 2023)
- **Headquarters**: Redwood City, California, USA
- **Founded**: 2010
- **Founders**: Christian Beedgen, Kumar Saurabh

## Core Business
- **Primary industry**: Cybersecurity and Observability (Cloud Security, Log Management, SIEM)
- **Target customers**: B2B, Enterprise, Mid-market, SMB
- **Mission**: “Making the digital world secure, fast, and reliable” [sumologic.com](https://www.sumologic.com/company)

## Products & Services
- **Sumo Logic Intelligent Operations Platform**: Cloud-native platform unifying log management, monitoring, and security for Dev, Sec, and Ops teams.
- **Cloud SIEM**: Security information and event management solution designed for cloud environments, with automated threat detection and investigation.
- **Dojo AI**: Multi-agent AI platform for intelligent security operations and incident response, reducing mean time to resolution (MTTR).
- **Log Analytics**: Log management and analytics for monitoring, troubleshooting, and root cause analysis.
- **Flex Licensing**: Consumption-based pricing model allowing customers to pay only for the data they ingest.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (acquired by Francisco Partners in 2023 for approximately $1.7 billion; current valuation not disclosed)
- **Key Metric**: Annual Revenue – Not publicly available
- **Notable Investors/Partners**: Francisco Partners (acquirer); key compliance certifications include FedRAMP Moderate, ISO 27001, SOC 2 Type II, HIPAA, PCI DSS 3.2, GDPR, CCPA.
- **Growth Signals**: Launch of Dojo AI agentic platform; FedRAMP Moderate authorization; global hiring across US, India, Costa Rica, and Germany; reported 376% three-year ROI for customers.

## Competitive Advantages
- AI-native platform with specialized agents (Dojo AI) that automate triage, correlation, and response.
- Unified observability and security on a single cloud-native platform, eliminating data silos.
- Flex Licensing model enables cost-effective ingestion of all log data without budget waste.
- Strong compliance posture (FedRAMP, ISO, SOC 2, HIPAA, PCI) trusted by government and regulated industries.
- High customer ROI and reduction in MTTR (60% decrease reported on website).

## Strategic Focus
- Intelligent SecOps for the AI era – leveraging AI agents to automate detection, investigation, and remediation.
- Continuous expansion of cloud-native capabilities and integrations to support modern digital enterprises.
- Scaling global presence and remote-first hiring to attract top talent.

## Why Work Here
- **Culture**: Values emphasize “Win Together”, “Stay Hungry”, “Be Customer Champions”, and “Own It” – with a focus on collaboration, resilience, customer obsession, and accountability. [sumologic.com](https://www.sumologic.com/company/careers)
- **Work Environment**: Many roles are remote (USA, India) with offices in San Francisco, Boston, Denver, Orlando, Tampa, Noida, Bangalore, San Jose (Costa Rica), and Germany. [greenhouse.io](http://job-boards.greenhouse.io/sumologic)
- **Engineering & Growth**: Opportunity to work on cutting-edge AI, machine learning, site reliability, and threat research. Employees describe a supportive environment with career development and personal growth.
- **Perks**: Not explicitly listed, but global team, flexible work options, and a mission-driven culture.

## Sources
1. [sumologic.com](https://www.sumologic.com/company) – Company overview, mission, and purpose
2. [sumologic.com](https://www.sumologic.com/) – Product details, Dojo AI, Cloud SIEM, Flex Licensing, and compliance
3. [sumologic.com](https://www.sumologic.com/company/careers) – Values, culture, and employee testimonials
4. [greenhouse.io](http://job-boards.greenhouse.io/sumologic) – Current job openings and locations
5. [sumologic.com](https://www.sumologic.com/company/leadership) – Leadership team and executive biographies

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