[Remote] Data Quality Engineer
Note: The job is a remote job and is open to candidates in USA. Fractal is a strategic AI partner to Fortune 500 companies, building intelligent solutions that support enterprise decision-making. The company is seeking an Azure Architect specializing in data engineering, data quality, and data governance to design, implement, and govern scalable enterprise data platforms on Microsoft Azure. The role includes leading cloud data architecture, engineering batch and real-time pipelines, implementing data quality frameworks, and providing technical leadership to stakeholders and cross-functional teams.
Responsibilities
- Design scalable and secure enterprise data platforms on Microsoft Azure
- Define end-to-end cloud data architecture using Azure-native services
- Develop reference architectures, reusable frameworks, and best practices
- Lead migration of on-premise data platforms to Azure cloud
- Ensure architecture aligns with business, security, governance, and compliance requirements
- Build and optimize large-scale batch and real-time data pipelines
- Design ETL/ELT frameworks using modern Azure data services
- Implement lakehouse/data warehouse architectures
- Enable data integration from structured, semi-structured, and unstructured sources
- Optimize performance, scalability, and cost of Azure data solutions
- Define enterprise data quality standards, controls, and monitoring frameworks
- Implement DQ checks including completeness, accuracy, consistency, uniqueness, and timeliness
- Design automated DQ validation and reconciliation frameworks
- Collaborate with governance teams on metadata management, lineage, and master data initiatives
- Establish data observability and monitoring mechanisms
- Work with business users to understand analytical and operational data requirements
- Collaborate with cross-functional teams including BI, AI/ML, governance, and infrastructure teams
- Mentor junior engineers and provide technical leadership
- Participate in architecture reviews, design discussions, and client presentations
Skills
- Strong hands-on expertise in Azure Data Factory (ADF)
- Strong hands-on expertise in Azure Databricks
- Strong hands-on expertise in Azure Synapse Analytics
- Strong hands-on expertise in Azure Data Lake Storage (ADLS)
- Strong hands-on expertise in Azure SQL Database
- Strong hands-on expertise in Azure Purview / Microsoft Purview
- Strong hands-on expertise in Azure Event Hub / Stream Analytics
- Strong hands-on expertise in Azure Functions
- Strong hands-on expertise in Azure DevOps
- Expertise in SQL and Python/PySpark
- Strong understanding of data modeling techniques
- Experience building distributed data processing systems
- Knowledge of batch and streaming architectures
- Experience with Delta Lake/Lakehouse concepts
- Experience implementing enterprise Data Quality frameworks
- Knowledge of DQ tools/frameworks such as Great Expectations, Deequ, Monte Carlo, Informatica DQ, or custom validation frameworks
- Experience in data profiling, validation, reconciliation, and anomaly detection
- Understanding of data governance and metadata management
- CI/CD implementation for data pipelines
- Infrastructure as Code (IaC) exposure using Terraform/Bicep/ARM templates
- Experience with monitoring and logging frameworks
- Understanding of cloud security best practices
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field
- 8+ years of experience in Data Engineering and Cloud Architecture
- 4+ years of hands-on experience with Azure Data Platform
- Experience working in enterprise-scale cloud transformation programs
- Experience in BFSI, Healthcare, Retail, Manufacturing, or CPG domains
- Exposure to AI/ML data platforms
- Experience with multi-cloud or hybrid-cloud environments
- Familiarity with Agile delivery models
- Client-facing consulting experience
Benefits
- Eligible full-time employees and hourly employees working more than 30 hours per week may participate in the health, dental, vision, life insurance, and disability plans.
- Benefits eligibility begins on the first day of employment with the Company.
- Eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.
- 11 paid holidays.
- 12 weeks of Parental Leave.
- “Free time” PTO policy, allowing flexibility to take time needed for either sick time or vacation.
- Eligible for a discretionary bonus for the current performance period.
Company Overview