Adobe Systems

2 days ago

Sr Data Solution Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build scalable data products, automation, and AI-enabled solutions that help CAO teams operate more efficiently. Translate ambiguous business requirements into production-ready delivery plans, design and optimize data pipelines, schemas, interfaces, and data streams, and ensure high-quality, reliable systems with strong governance and access controls. Partner cross-functionally and improve engineering standards through modern practices like CI/CD, code reviews, monitoring, documentation, and production support while mentoring engineers.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop, build, and support scalable data solutions including data streams, schemas, interfaces, and automation workflows.
•Turn ambiguous business requirements into clear technical solutions and delivery plans.
•Build automation and intelligent solutions to improve data quality, reduce manual effort, and increase operational capacity.
•Apply modern engineering practices such as source control, testing, CI/CD, code reviews, documentation, monitoring, and production support.
•Evaluate, integrate, and optimize data from internal and external systems; contribute reusable patterns and mentor engineers.

Pay and Benefits

Salary: USD 105,700 - 211,850 annually

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, including 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.
•Strong understanding of data quality, governance, security, access controls, and production reliability.

Experience:7+ years

Education:Bachelor's

Skills:CommunicationMentoringProduct thinkingProblem-solving

Tech Stack:SQLPythonAPIsLLMsGitCI/CDCloud data platformsData warehousesOrchestration 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

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Adobe Systems

2 days ago

Sr Data Solution Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop, build, and support scalable data solutions including data streams, schemas, interfaces, and automation workflows.
•Turn ambiguous business requirements into clear technical solutions and delivery plans.
•Build automation and intelligent solutions to improve data quality, reduce manual effort, and increase operational capacity.
•Apply modern engineering practices such as source control, testing, CI/CD, code reviews, documentation, monitoring, and production support.
•Evaluate, integrate, and optimize data from internal and external systems; contribute reusable patterns and mentor engineers.

Pay and Benefits

Salary: USD 105,700 - 211,850 annually

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, including 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.
•Strong understanding of data quality, governance, security, access controls, and production reliability.

Experience:7+ years

Education:Bachelor's

Skills:CommunicationMentoringProduct thinkingProblem-solving

Tech Stack:SQLPythonAPIsLLMsGitCI/CDCloud data platformsData warehousesOrchestration tools

Company Brief

Adobe Systems

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

Glassdoor: 4.0

Website LinkedIn Glassdoor