Data Solution Engineer, Data Quality And Governance

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 4 months ago
8-10 years
Cupertino, California, United States
work from office

Posted: 4 months ago
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Applicants: 149+
Job Description
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Job Description

In this role, you will: 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
  • 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

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  • Bachelors degree in Computer Science, Data Science, Information Systems, or related field
  • 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

Skills

PythonGraphqlScripting LanguagesVersion ControlApiCloudSqlInformation Security

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About Company

Apple Inc., formerly Apple Computer, Inc., is a Silicon Valley–based multinational technology company headquartered in Cupertino, California. It designs, manufactures, and markets premium consumer electronics, software, and online services. Iconic products include the iPhone, iPad, Mac, Apple Watch, and Apple TV, alongside services such as Apple Music, iCloud, Apple Pay, Apple Arcade, Apple TV+, and the App Store. Operating systems now span iOS, iPadOS, macOS, watchOS, and visionOS.

As of August 2025, Apple ranks #3 globally by market capitalization (≈ US $3.4 trillion) and reported FY 2024 revenue of US $391 billion. It remains the second‑largest smartphone maker and fourth‑largest PC vendor worldwide, while expanding into AI‑powered devices, sustainable technology solutions, and mixed‑reality platforms like the Apple Vision Pro.

For professionals exploring Apple India careers, the company offers opportunities across hardware, software, design, retail, and operations, with office hubs in Bengaluru, Hyderabad, Mumbai, and Gurugram. Apple’s interview process in India is known for its rigor, cultural fit focus, and innovation‑driven assessment — attracting engineers, designers, and business talent passionate about shaping future‑ready technology.

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Important dates & deadlines?

Application Deadline

22 Mar 26, 02:59 PM IST

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Data Solution Engineer, Data Quality And Governance

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