850 jobs for "Senior Solutions Architect"

Senior Principal, Software Architect | Global Open Finance

At Mastercard - Tallaght

Posted on Oct 21

View job Apply on company site

Senior Principal, Software Architect | Global Customer Acquisition & Engagement

At Mastercard - Blackrock

Posted on Oct 21

View job Apply on company site

Senior Principal, Software Architect | Global Customer Acquisition & Engagement

At Mastercard - Bray

Posted on Oct 21

View job Apply on company site

Senior Solutions Consultant - Financial Services

At Appian - Atlanta

Posted on Oct 30

View job Apply on company site

Senior Solutions Consultant - Financial Services

At Appian - New York

Posted on Oct 30

View job Apply on company site

Senior Solutions Consultant

At Appian - Rome

Posted on Oct 17

View job Apply on company site

Application Engineer, Vice President

At BlackRock - Bengaluru

Posted on Aug 22

View job Apply on company site

Senior Salesforce Developer

At Fannie Mae - Reston · Plano

Posted on Oct 9

View job Apply on company site

Placement Student - Data Analyst

At Cummins - Sandwich

Posted on Oct 1

View job Apply on company site

Senior Data Engineer & Scientist - Apple

At Apple - 서울

Posted on Sep 27

View job Apply on company site

Sr AI Engineer - Platform Engineering

At The Hartford - Hartford

Posted on Sep 9

View job Apply on company site

Product Engineering Architect (3D IC, Heterogeneous Integration & Advanced Packaging)

At Cadence Design Systems - San Jose

Posted on Sep 23

View job Apply on company site

Director Software Engineering, Runtime and cross plane Engineering, ITC

At Nike

Posted on Sep 24

View job Apply on company site

Senior Implementation Engineer

At Adyen - Toronto

Posted on Sep 29

View job Apply on company site

Security Architect

At Leidos - Remote / Flexible

Posted on Oct 9

View job Apply on company site

Principal--Data, Analytics & AI Architect

At Fannie Mae - Reston

Posted on Aug 21

View job Apply on company site

Network Engineer

At Leidos - Camp Springs

Posted on Oct 8

View job Apply on company site

Lead Technical Product Manager Finance, ITC

At Nike

Posted on Sep 23

View job Apply on company site

Senior Data Engineer & Scientist - Apple

At Apple - Seoul

Posted on Jun 30

View job Apply on company site

Principal AI Forward Deployment Engineer

At Cadence Design Systems - Remote / Flexible

Posted on Jun 24

View job Apply on company site

Apple

Senior Data Engineer & Scientist - Apple

서울Posted Sep 27, 2026

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

At Apple, extraordinary products begin with a deep understanding of the people who use them. Our Korea Channel Sales team leverages data to shape business strategy, optimize customer experiences, and drive growth across channels and partners.
As a Senior Data Engineer & Scientist, you will build the data infrastructure that connects fragmented data sources across the business - and apply that foundation to generate insights, run experiments, and develop AI-driven solutions. This dual role is ideal for someone who can architect reliable data systems and, with that same depth, design the experiments and models that turn data into business decisions.
Senior Data Engineer & Scientist - Apple Korea

설명
In this role, you will own the full data lifecycle - from pipeline architecture and data modeling through to statistical analysis and AI-driven insight generation. You will work closely with cross-functional teams spanning marketing, business operations, partner management, and engineering.
Early on, you will focus on standing up data infrastructure: building ingestion pipelines, automating dashboards, identifying data gaps, and ensuring data governance and compliance. As the foundation matures, you will shift toward data science - designing experiments, generating customer insights, and applying machine learning to optimize initiatives for sales growth.
You will also contribute to the development of data platforms that enable seamless collaboration with external and internal partners, and help scale analytics capabilities across the organization.","responsibilities":"Design, build, and maintain scalable data pipelines and automated reporting infrastructure to support business priorities across the Korea Channel Sales organization
Identify critical data gaps and drive the acquisition and integration of new data sources from internal systems and external partners
Establish data governance, compliance, and access control frameworks to ensure data quality and reliability
Design and execute tests and experiments to measure business impact and optimize customer engagement strategies
Apply machine learning, segmentation, and statistical methods to generate actionable insights and growth recommendations
Build and operate data platforms that enable structured data collaboration with external partners
Translate business requirements into analytical frameworks, reusable data products, and automated workflows
Leverage AI and LLM-based tooling to streamline analysis, automate tasks, and accelerate insight generation
Communicate complex analytical and technical findings clearly to both technical and non-technical stakeholders
Partner with worldwide counterparts to align data capabilities and analytical standards globally

선호 자격 요건
Experience with cloud data platforms (e.g., Snowflake)
Proficiency in machine learning methods applied to customer analytics, business optimization, or forecasting
Experience building data-sharing platforms or partner data integration workflows
Background in business analytics (e.g., attribution, funnel analysis, customer lifetime value, marketing mix modeling)
Exposure to digital advertising, marketplaces, e-commerce, media, or consumer technology business related analysis
Experience identifying repeatable business problems and converting them into scalable tools or automated workflows
Master's or PhD in Computer Science, Statistics, Data Science, Economics, Operations Research, Engineering, or a related quantitative field with 5+ years of relevant experience

최소 자격 요건
5+ years of relevant work experience in data engineering, data science, or a combined role, with hands-on depth across both disciplines
Proficiency in Python and SQL, with experience building and maintaining ETL/ELT pipelines, data models, and automated dashboards
Experience with marketing data science methods including experimental and testing design, regression analysis, and causal inference
Solid understanding of data governance, compliance, and access control principles
Strong problem-structuring skills, with the ability to work through ambiguity and define clear analytical approaches
Excellent communication and stakeholder management skills, with the ability to present to non-technical business audiences
Fluent verbal and written communication skills in both Korean and English

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile