Solution Architect - Data Quality

Join Collibra’s Professional Services Team

At Collibra, our Professional Services team depends on Solution Architects to meet and exceed customer expectations. As a Solution Architect, Data Quality, you will collaborate with clients to understand their data quality challenges and provide actionable recommendations for developing or refining a robust Data Quality Strategy. Your role will focus on improving client data quality through profiling, analysis, and long-term monitoring using Collibra products. You will not only address current issues but also partner with clients to create sustainable solutions for their data quality needs.

Solution Architects at Collibra are responsible for

• Partnering with clients to understand their data quality challenges and needs.
• Conducting interviews with client stakeholders from both Business and IT to uncover current data quality issues and identify emerging trends.
• Defining current and future states for the Data Quality vision.
• Leading efforts to improve client data quality through profiling, analysis, and long-term monitoring of their data.
• Profiling datasets to identify data quality issues and challenges.
• Ensuring service delivery aligns with Collibra’s Engagement Model, Processes, Methodologies, and Artifacts.
• Achieving utilization targets and contributing to the growth of Collibra’s services business.

You Have

• 5-10 years of relevant industry consulting experience.
• A minimum of 2 years of experience working with cloud platforms, network-based API integration (REST/JSON), and deployment automation.
• Experience with Java or Python for custom software implementations in Enterprise Linux or Unix environments.
• Proven ability to quickly learn new technologies and business requirements.
• Hands-on experience with Data Quality, Data Pipelines, Data Orchestration, or Job Control tools.
• A Bachelor’s degree or equivalent in a business, technical, or related field is preferred.

You Are

• Knowledgeable of data management processes, including data governance, data stewardship, master data management, data cataloging, data warehousing, ETL, data integration, and business rules management.
• Able to work with business and analytics leaders to identify and align on solutions to data quality challenges and advocate for the importance of preserving data integrity.
• Experienced in leading blueprinting, design workshops, and requirements gathering activities.
• Proficient with big data technologies such as Kubernetes, Spark, and Hadoop.
• Familiar with enterprise security solutions such as LDAP or Kerberos.
• Strongly skilled in developing functional specifications, technical specifications, and test specifications.
• Because this role supports the US government, it is …