Senior Data Engineer at Sumo Logic

Costa Rica

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud Computing, Log AnalyticsIndustries

Requirements

Extensive experience in Databricks, Spark, and AWS (EC2, RDS, Aurora, DynamoDB, S3 and Kinesis primarily)
Experience developing scalable, secure, and resilient data architectures and implementations
6+ years of industry experience with a proven track record of ownership and delivery
Experience with Python scripting, PySpark, and other data frameworks or tools
Experience with SQL and data schemas
Experience with API calls and API-based ingestion
Hands-on and deep experience with git and GitHub
Proven experience and success in AWS infrastructure management and deployment for data platforms to leverage and run on top of (EC2, S3, RDS, VPC, Basic Network Adjustments, KMS, PrivateLink all a bonus)
Experience working with the data ingestion, data storage, and data consumption layers
Experience with both structured and unstructured data
Agile development experience and a familiarity with Jira, sprints, and pointing
Experience building robust and well-architected designs for enterprise scale data architectures and workflows
Passion for continuous learning and deep technological curiosity
Excellent verbal and written communication skills
Experience and comfort with an on-call schedule for enterprise systems

Responsibilities

Designing and implementing complex and well-architected enterprise data solutions that support mid-to-large size organizations
Work to improve existing data warehouse systems, solutions, and process through architectural reviews and design enhancement initiatives
Experience in devops methodologies and practices as applied to infrastructure, cloud, and business application data
Improve systems to provide strict data compliance adherence, security guardrails, and cost-optimization
Strong understanding and hands-on experience with data infrastructure and compute services in AWS that our data platform is deployed on top of
Design and manage data schemas and the flow of data through corporate systems and applications to ensure compliance, data integrity, and data security
Deliver well-architected, end-to-end data solutions to a growing enterprise organization across multiple infrastructure environments, data sources, and business applications
Build strong partnerships and engage with other teams at Sumo Logic to create solutions that enable and benefit all parties and increased derived value
Ensuring global delivery and alignment on all data initiatives and maintaining 24/7 uptime

Skills

Key technologies and capabilities for this role

Data EngineeringAWSData WarehouseDevOpsCloud InfrastructureData ArchitectureData IntegrityData SecurityScalabilityETLInfrastructure as Code

Questions & Answers

Common questions about this position

What are the key required skills for this Senior Data Engineer role?

The role requires extensive experience in Databricks, Spark, and AWS services like EC2, RDS, Aurora, DynamoDB, S3, and Kinesis, along with Python scripting, PySpark, SQL, and data schemas. Candidates need experience developing scalable, secure, and resilient data architectures.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Senior Data Engineer role remote or does it require office work?

This information is not specified in the job description.

What experience level is required for this position?

The role requires 6+ years of industry experience with a proven track record of ownership and delivery.

What does the team structure look like for this role?

You will work closely with a team of highly skilled individuals, reporting to the Senior Manager of Data Engineering and rolling up to the Global Head of IT.

Sumo Logic

Cloud-based data analytics and security platform

About Sumo Logic

Sumo Logic provides data analytics and security tools that help businesses collect, analyze, and visualize large datasets. Their cloud-based platform allows medium to large enterprises in various industries to manage their data efficiently and securely from anywhere. Unlike many competitors, Sumo Logic operates on a subscription model, offering scalable solutions that enable clients to budget their expenses predictably. The company's goal is to empower businesses to make informed decisions and enhance their operational efficiency and security.

Redwood City, CaliforniaHeadquarters

2010Year Founded

$330.8MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise Software, CybersecurityIndustries

501-1,000Employees

Benefits

Competitive base salary + bonus + RSU's

Unlimited PTO + 12 company holidays + 4 quarterly wellness days

100% remote or in office

Employee stock purchase plan- ESPP

Medical, Dental, Vision

Paid Parental leave

Risks

Increased competition from companies like Magna5 could threaten market share.

Free data ingest model may lead to revenue challenges if not enough paying customers.

Rapid global data growth could overwhelm infrastructure, affecting service reliability.

Differentiation

Sumo Logic offers a cloud-native platform for real-time machine data analytics.

The company provides a unique Flex Licensing model for unlimited log data ingest.

Sumo Logic's Cloud SIEM solution automates threat detection and provides contextualized threat insights.

Upsides

Expansion into South Korea opens new customer bases in the Asian market.

Recognition as a Challenger in Gartner's Magic Quadrant enhances credibility and attracts clients.

Flex Licensing model removes cost barriers, potentially increasing customer acquisition.

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