Data Quality Lead

dynaTrace software GmbH; Barcelona; Presencial; EUR 60.000 - 100.000; Jornada completa

Descripción de la vacante

An innovative firm is seeking a Data Quality Lead to enhance data integrity and drive quality initiatives. This pivotal role involves developing data quality frameworks, automating checks, and collaborating across teams to ensure data reliability. With over a decade of experience in data management, you'll lead efforts to establish a data-driven culture while leveraging cutting-edge tools. Join a leader in unified observability, where your contributions will help shape the future of data quality and governance in a dynamic and rewarding environment.

Servicios

Competitive compensation packages

Training for System Admins and Data Stewards

Work with leading cloud providers

Culture of excellence

Formación

• 10+ years of experience in business intelligence or data management.
• Strong background in data quality frameworks and policies.

Responsabilidades

• Develop and implement data quality frameworks and monitoring processes.
• Identify data quality challenges and coordinate remediation efforts.

Conocimientos

Data Management

Data Quality Frameworks

Root-Cause Analysis

Data Governance

Business Intelligence

Educación

Bachelor’s degree in Information Management

Master’s degree (preferred)

Herramientas

Snowflake

dbt

Power BI

DataHub

Descripción del empleo

Your role at Dynatrace

Dynatrace’s Business Intelligence team is seeking a dynamic and experienced Data Quality Lead to help drive data quality initiatives and establish a data-driven culture. The role will focus on ensuring the reliability, accuracy, completeness, and consistency of data across the organization. The Data Quality Lead will work closely with Data Governance and BI teams to develop and refine Data Quality frameworks, ensuring that quality metrics are enforceable and practical.

Data Quality Framework

1. Develop and implement data quality frameworks, policies, and monitoring processes using tools like Snowflake, dbt, and Power BI.

2. Define data quality roles & responsibilities across business functional teams.

Automation and Tooling

1. Design and implement automated data quality checks, validation rules, and testing frameworks.

2. Evaluate and recommend data quality tools to enhance monitoring and resolution.

Issue Resolution

1. Identify data quality challenges and proactively mitigate issues.

2. Partner with team members to perform root-cause analysis and coordinate remediation efforts.

Collaboration

1. Align with Data Governance, BI, and cross-functional teams to communicate data quality processes and best practices.

2. Partner with Data Owners and Stewards to capture data quality check requirements.

3. Act as a data quality ambassador across business units.

KPI & Reporting:

1. Define, monitor, and report on data quality KPIs.

2. Present findings and propose improvement areas to stakeholders.

Training & Documentation:

1. Document data quality processes from identification to resolution.

2. Develop and deliver training for System Admins, Data Owners, and Data Stewards.

What will help you succeed

1. Bachelor’s degree in Information Management, Data Science, Computer Science, Analytics, Business Administration, or a related field. Master’s degree preferred.
2. 10+ years working with enterprise data in a business intelligence, data management, operations or similar capacity.
3. 5+ years in data management, with leadership experience.
4. Strong background in creating and maintaining data quality frameworks, policies, standards, and processes.
5. Experience managing data quality measures across large datasets or complex data environments.
6. Knowledge of stewardship and management of metadata, master data, and reference data.
7. Familiar with industry-standard data quality methods, data governance frameworks, and best practices for defining data rules, KPIs, and metrics.
8. Experience in using data management tools like Snowflake, dbt, Power BI, and data governance platforms (i.e. DataHub).

Why you will love being a Dynatracer

1. Dynatrace is a leader in unified observability and security.
2. We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.
3. Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances.
4. The Dynatrace platform uses cutting-edge technologies, including our own Davis hypermodal AI, to help our customers modernize and automate cloud operations, deliver software faster and more securely, and enable flawless digital experiences.
5. Over 50% of the Fortune 100 companies are current customers of Dynatrace.