Data Quality / Data Governance Specialist

Job Mode: Full-time

Work Mode: Remote

ID: 21204

Job Summary

We are seeking a highly skilled Data Quality / Data Governance Specialist with a strong focus on execution and implementation , not just documentation. This role is critical in ensuring data reliability, integrity, and governance across both batch and real-time data ecosystems .

You will work closely with data engineering, analytics, and business teams to operationalize data governance frameworks , enforce data quality standards , and implement observability practices across modern data platforms.

Responsibilities and Duties

Data Governance & Execution

• Implement and operationalize data governance frameworks , policies, and standards across the organization.
• Move beyond documentation to ensure real enforcement of governance practices within data pipelines and systems.
• Define and enforce data contracts between producers and consumers.
• Establish ownership, stewardship, and accountability models for data assets.

Data Quality & Observability

• Design and implement data quality frameworks to ensure accuracy, completeness, and consistency of data.
• Define and monitor data quality rules and SLAs across datasets.
• Implement and manage data observability tools to track data health, lineage, and anomalies.
• Partner with engineering teams to integrate quality checks into pipelines.

Data Architecture (Batch & Real-Time)

• Ensure data quality and governance across:
• Batch processing architectures (e.g., Medallion architecture: Bronze, Silver, Gold layers)
• Real-time/streaming systems
• Implement validation and quality checks across all layers of the data lifecycle .
• Collaborate on architecture decisions to embed governance and quality by design.

Modern Data Stack Implementation

• Work hands-on with modern data technologies, including:
• Python, SQL, Spark for data processing and validation
• AWS services such as Kinesis, Lambda, SQS/SNS
• Data lake/table formats such as Apache Iceberg
• Integrate governance and quality controls into data pipelines and workflows.

Collaboration & Continuous Improvement

• Collaborate with Data Engineers, Data Scientists, and Business stakeholders to ensure trusted data usage.
• Educate teams on data governance best practices and standards .
• Continuously identify opportunities to improve data reliability, reduce incidents, and increase trust in data .
• Support incident resolution related to data quality issues and implement preventive measures.

Qualifications and Skills

• 5+ years of experience in Data Governance, Data Quality, or Data Engineering-related roles .
• Proven experience implementing (not just documenting) data governance frameworks .
• Strong hands-on experience with:
• Data quality frameworks and validation strategies
• Data contracts and schema enforcement
• Data observability tools and practices
• Experience working with:
• Batch architectures (Medallion architecture preferred)
• Real-time/streaming data pipelines
• Proficiency in:
• SQL and Python
• Distributed data processing tools such as Spark
• Experience with modern data stack technologies:
• AWS (Kinesis, Lambda, SQS/SNS)
• Apache Iceberg or similar table formats

Preferred Qualifications

• Experience with tools like Great Expectations, Monte Carlo, Databand, or similar observability platforms .
• Familiarity with data cataloging and lineage tools .
• Knowledge of data privacy, compliance, and regulatory frameworks .
• Experience with CI/CD integration for data pipelines .
• Strong understanding of data modeling and data architecture patterns .

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.