Data Solutions Engineer

Adobe Systems
Bengaluru
Full timeFunction: Solutions Engineering & Sales EngineeringExperience: 7+ yearsEducation: bachelorsSkills: ["Communication","Mentoring","Product thinking"]

Build scalable data products and automation/AI-enabled solutions that help CAO teams operate more effectively. Translate ambiguous business needs into production-ready data pipelines, schemas, interfaces, and workflows. Apply modern engineering practices (Git, testing, CI/CD, code reviews, monitoring) while integrating internal/external data and improving data quality, governance, and reliability. Partner with collaborators across the org and mentor engineers using AI-assisted development tools responsibly.

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FursaFursa
Adobe Systems
Adobe Systems
5 hours ago

Data Solutions Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build scalable data products and automation/AI-enabled solutions that help CAO teams operate more effectively. Translate ambiguous business needs into production-ready data pipelines, schemas, interfaces, and workflows. Apply modern engineering practices (Git, testing, CI/CD, code reviews, monitoring) while integrating internal/external data and improving data quality, governance, and reliability. Partner with collaborators across the org and mentor engineers using AI-assisted development tools responsibly.
Location: Bengaluru
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop, build, and support scalable data solutions including data streams, schemas, interfaces, and automation workflows.
  • •Translate ambiguous business requirements into clear technical solutions and delivery plans.
  • •Improve data quality and reduce manual effort by building automation and intelligent solutions.
  • •Apply modern engineering practices (source control, testing, CI/CD, code reviews, documentation, monitoring, and production support).
  • •Evaluate, integrate, and optimize data from internal and external systems while contributing to reusable patterns and engineering standards.

Key Requirements

  • •7+ years of experience in data engineering, analytics engineering, software engineering, automation engineering, or a related technical field.
  • •Strong proficiency in SQL and Python, with experience building reliable data pipelines, data models, APIs, and automated workflows.
  • •Experience with cloud data platforms, data warehouses, orchestration tools, Git-based development, and CI/CD practices.
  • •Ability to lead complex technical initiatives across multiple systems, partners, and business domains.
  • •Bachelor’s degree (or equivalent experience) in Computer Science, Data Engineering, Information Systems, or a related field.
Experience:7+ yearsData engineeringAnalytics engineeringAutomation engineering
Education:Bachelor's in Computer Science, Data Engineering, Information Systems (or related field)
Skills:CommunicationMentoringProduct thinking
Tech Stack:SQLPythonAPIsGitCI/CDData pipelinesData modelingCloud data platformsData warehousesOrchestration toolsLLMsAI-assisted development tools

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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Glassdoor: 4.0
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