Saama · 2 weeks ago
Data Quality Engineering Lead
Multiple, United States
Full-time
Hybrid
Senior Level, Lead/Staff
10+ years expSaama is seeking a highly skilled and detail-oriented Data Quality Engineering Lead to ensure the accuracy, consistency, and reliability of data in their Enterprise Datawarehousing engagements. The ideal candidate will lead the design and implementation of data quality frameworks, enforce governance standards, and collaborate with cross-functional teams to deliver high-quality data solutions.
AnalyticsArtificial Intelligence (AI)Clinical TrialsCloud ComputingData ManagementLife ScienceMachine LearningPharmaceuticalPredictive AnalyticsSoftware
Responsibilities
Develop and implement data quality strategies, frameworks, and best practices for data warehousing projects. Establish and enforce data quality standards, policies, and procedures. Define metrics and KPIs to measure data quality and monitor compliance
Lead and mentor a team of data quality engineers, QA Engineers and analysts. Assign tasks, monitor progress, and ensure timely delivery of data quality objectives. Foster a culture of accountability, innovation, and continuous improvement within the team
Design and execute data validation, reconciliation, and testing processes to identify and resolve data anomalies. Develop automated data quality checks and tools to enhance efficiency and accuracy. Collaborate with data engineering teams to integrate quality checks into ETL workflows
Work closely with data engineers, architects, and business stakeholders to understand data requirements and ensure alignment with business goals. Partner with business analysts and product teams to define data quality requirements and success criteria. Communicate data quality findings and recommendations to stakeholders in a clear and actionable manner
Investigate and troubleshoot data quality issues, identify root causes, and implement corrective actions. Maintain a data quality issue log and track resolutions to closure
Stay updated on industry trends, tools, and technologies in data quality management. Evaluate and recommend new tools and techniques to improve data quality processes. Drive the adoption of innovative data quality solutions across the organization
Qualification
Required
Bachelor's degree in Computer Science, Information Systems, or a related field
10+ years of experience in data quality management, with at least 3 years in a leadership role
Proven experience in datawarehousing and ETL processes
Expertise in data profiling, data cleansing, and data validation techniques
Strong knowledge of SQL and database systems (e.g., GCP)
Experience with Agile methodologies and project management tools
Excellent analytical, problem-solving, and communication skills
Strong leadership and team management abilities
Ability to work in a fast-paced environment and manage multiple priorities effectively
Preferred
Master's degree in Computer Science, Information Systems, or a related field
Company
Saama
Saama is the number one AI-powered clinical analytics cloud platform company delivering actionable business insights for life sciences.
1001-5000 employees
H1B Sponsorship
Saama 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 (81)
2024 (39)
2023 (49)
2022 (98)
2021 (45)
2020 (58)
Funding
Current Stage
Late StageTotal Funding
$75.75MKey Investors
Carrick Capital Partners
2021-10-20Acquired
2019-03-25Series Unknown· $40M
2015-06-02Series A· $35.75M
Leadership Team
Bhaskar Sambasivan
Chief Executive Officer
Aamir Jaka
VP Life Science Strategy and Customer Success
Recent News
2025-09-29
Company data provided by crunchbase