1 week ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Design and build data models and pipelines for product telemetry, logs, and alerts within the Product Data Group. Lead implementation and optimization aligned to data architecture, security, access standards, and data management practices such as schema evolution, versioning, backfill, and retry. Drive testing, monitoring, alerting, and runbook-driven operations, enforce SLAs and data lifecycle management, and improve observability and data quality while supporting data cataloging and documentation.

Location: Dublin

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and lead implementation and optimization of data models and pipelines for multiple uses, aligned to data architecture, security, and access standards.
•Lead data management standards for schema evolution, versioning, backfill, and retry capabilities.
•Design and manage best practices for testing, monitoring, alerting, and runbook-driven operations; champion RCA and remediation strategies.
•Implement and enforce SLAs and data lifecycle management, including standards for data quality checks and production observability.
•Contribute to documentation, guide data cataloging and metadata requirements, and collaborate across teams on event design, source systems, and data contracts.

Key Requirements

•6-8 years in data engineering and architecture, ideally focused on product data like telemetry and logs.
•Extensive experience in data architecture, data modeling, and database/pipeline performance optimization and standardization.
•Expertise designing data flows, pipelines, and data quality/observability systems with monitoring and alerting frameworks.
•Experience with data cataloging, metadata, and lineage, and working with data stewards.
•Strong experience with DevOps standards (CI/CD, testing frameworks) integrated into software engineering processes.

Experience:6-8 yearsData engineeringProduct dataData architectureTelemetryLogsData governance

Skills:CommunicationCollaboration

Tech Stack:DbtDatabricksUnity CatalogGitAWSCI/CDMonitoringAlertingTesting frameworksObservabilityData quality

Company Brief

Provides application delivery networking, load balancing, and security solutions for on-premises and cloud environments, helping organizations optimize, secure, and scale applications and APIs across multi-cloud infrastructures.

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Seattle, United States

Founded: 1996

Glassdoor: 3.8

Website LinkedIn

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