Apple · 3 days ago
Data Solution Engineer, Data Quality and Governance
Austin, TX
Full-time
Onsite
Senior Level, Lead/Staff
$146K/yr - $244K/yr
8+ years expApple is a leading technology company known for its innovation and commitment to environmental efforts. They are seeking a Data Solution Engineer to lead the design and implementation of enterprise data quality solutions enhanced by generative AI and machine learning capabilities.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Design end-to-end data quality architectures that integrate GenAI capabilities for automated profiling, anomaly detection, root cause analysis, and remediation recommendations
Develop reference architectures for AI-augmented data quality platforms, including integration patterns with enterprise data catalogs, knowledge graphs, and metadata management systems
Create technical blueprints for real-time data quality monitoring using ML-based pattern recognition and predictive quality scoring
Design and implement LLM-powered solutions for automated data quality rule generation, business glossary enrichment, and natural language data profiling interfaces
Create ML pipelines for automated data classification, sensitivity detection, and quality dimension scoring
Evaluate and integrate emerging AI technologies (foundation models, agents, multimodal capabilities) into the data quality technology stack
Lead technical design for data quality platforms built on modern data stack technologies (DataHub, Great Expectations, dbt, etc.)
Design API-first architectures enabling self-service data quality capabilities for business users and data product teams
Architect observability and lineage solutions providing end-to-end visibility into data quality across the data lifecycle
Partner with Data Stewards, Data Product Owners, and Business Analysts to translate quality requirements into technical solutions
Collaborate with enterprise architecture, information security, and infrastructure teams on platform decisions
Mentor engineers and analysts on data quality best practices and AI/ML implementation patterns
Present technical recommendations to senior leadership
Qualification
Required
Typically requires a minimum of 8+ years of related experience in software, data architecture, data engineering, or data quality roles
Expert-level knowledge of data quality dimensions, profiling techniques, and remediation patterns
Strong understanding of master data management, data cataloging, and metadata management principles
Deep understanding of data modeling, dimensional modeling, and architectural patterns for analytical and operational data stores
Proficiency in design and development of custom ETL pipelines using SQL and scripting languages (Python, etc.)
Experience with data pipeline orchestration (Airflow, Dagster, Prefect) and streaming technologies (Kafka, Spark)
Proficiency in major cloud platforms (AWS, Azure, or GCP) including data services and AI/ML offerings
Solid understanding and practical application of API design principles (REST, GraphQL) and microservices patterns
Demonstrated experience with version control systems (Git), implementing CI/CD pipelines, and Infrastructure-as-Code (IaC) practices
Ability to thrive in a fast-paced environment while balancing speed, accuracy, and long-term design principles
Strong communication skills and comfort working with both technical and business stakeholders
Bachelor's degree in Computer Science, Data Science, Information Systems, or related field
Preferred
Hands-on experience with LLMs such as GPT-4, Claude, or Llama, including expertise in prompt engineering, fine-tuning, and RAG implementations
Proficiency with data visualization and BI tools like Superset or Tableau
Strong understanding of authentication and authorization patterns
Master's degree in related field preferred
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase