Remote Data Governance Analyst: Data Deletion & Discovery

Brooklyn Arts Council; Virginia; Hybrid; USD 80,000 - 97,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

Employer-Paid Life Insurance

Employer-Paid Short-Term Disability

Employer-Paid Long-Term Disability

401(k)

Paid Time Off (PTO) including Vacation

Educational Assistance

Job summary

BRMi is seeking a Data Governance Analyst to support a large financial services client’s Enterprise Data Governance program, focusing on secure and permanent data deletion, data discovery, control implementation, and testing. The role requires advanced SQL and hands-on experience with Databricks, ADLS, Delta Lake, ADF, Python, and PySpark.

The ideal candidate will work across business, data, technology, risk, and governance teams to develop deletion processes, validate controls, and maintain

Qualifications

• Bachelor’s degree or equivalent in IT/CS/Data Analytics.
• Experience supporting enterprise data governance, data management, data lifecycle management, data retention, data deletion, or related initiatives.
• Strong understanding of data governance principles, controls, policies, standards, and frameworks.
• Experience conducting dataset discovery, data inventory, metadata management, or data classification activities.
• Experience developing and executing test plans to validate implementation and effectiveness of data-related controls.
• Strong data analysis skills with the ability to work with large and complex datasets.
• Advanced SQL skills for data discovery, reconciliation, analysis, and validation.
• Hands-on experience with Databricks and Azure data tools.
• Experience with ADLS, Delta Lake, and ADF.
• Python and PySpark for data analysis and processing.
• Strong project management and organizational skills.

Responsibilities

• Support the execution of Enterprise Data Governance Services plans and initiatives related to secure and permanent data deletion.
• Partner with business, technology, risk, and data stakeholders to develop, implement, document, and maintain data deletion controls and processes.
• Ensure data deletion processes and controls align with enterprise data governance frameworks, policies, standards, and procedures.
• Conduct dataset discovery and inventory activities across Data Lake zones to identify data assets, understand data lineage and usage, and determine applicable governance and deletion requirements.
• Maintain accurate metadata, dataset inventories, classifications, and other governance documentation.
• Analyze complex datasets and data environments to identify data subject to retention and deletion requirements.
• Develop and execute test plans to validate that data deletion controls and processes have been fully and effectively implemented.
• Perform control testing, document results, identify gaps or deficiencies, and support remediation activities.
• Validate successful deletion or disposition of data across applicable platforms and data stores.
• Use advanced SQL, Python, and PySpark to query, analyze, reconcile, and validate large datasets.
• Work within Databricks, ADLS, Delta Lake, and Azure Data Factory environments to support data discovery, analysis, validation, and governance activities.
• Analyze control and testing results to identify trends, risks, exceptions, and opportunities for process improvement.
• Support evolving data governance requirements and assist in developing controls that address emerging organizational, technology, and regulatory needs.
• Coordinate project activities, dependencies, milestones, risks, and deliverables across multiple stakeholder groups.
• Develop clear documentation, reports, presentations, and status updates for technical and non-technical stakeholders.
• Support audit, compliance, risk, and governance requests by providing appropriate documentation and evidence.
• Communicate findings, risks, dependencies, and recommendations clearly to stakeholders and management.
• Perform other duties as required.

Skills

Advanced SQL

Data governance

Data discovery

Data deletion controls

Stakeholder coordination

Project management

Communication

Python

PySpark

Education

Bachelor’s degree in IT/CS/Data Analytics

Tools

Databricks

Azure Data Lake Storage

Delta Lake

Azure Data Factory

PySpark

Python

Job description

Overview

BRMi is seeking a Data Governance Analyst to support a large financial services client’s Enterprise Data Governance program, with a focus on secure and permanent data deletion, data discovery, control implementation, and testing.

The successful candidate will support the execution of enterprise data governance plans designed to ensure data is appropriately identified, governed, retained, and permanently deleted in accordance with established policies, controls, and regulatory requirements. This role will work across business, data, technology, risk, and governance teams to develop and implement data deletion processes, validate control effectiveness, and maintain accurate inventories and metadata for enterprise datasets.

The ideal candidate will combine strong data governance and analytical experience with hands-on technical capabilities across modern Azure data platforms. This position requires advanced SQL skills and experience working with Databricks, Azure Data Lake Storage (ADLS), Delta Lake, Azure Data Factory (ADF), Python, and PySpark.

Benefits:• Comprehensive Medical, Dental, and Vision Insurance• Employer-Paid Life Insurance• Employer-Paid Short-Term and Long-Term Disability Insurance• 401(k)• Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays• Educational Assistance

Salary: 80k-97k

**Can be 100% remote in TX, VA, MD, DC, or FL**

**High Profile roles may require candidates to fly to customer HQ for in person interview (expenses paid)**

Clickhereto learn about BRMi's culture.

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Responsibilities

• Support the execution of Enterprise Data Governance Services plans and initiatives related to secure and permanent data deletion.
• Partner with business, technology, risk, and data stakeholders to develop, implement, document, and maintain data deletion controls and processes.
• Ensure data deletion processes and controls align with established enterprise data governance frameworks, policies, standards, and procedures.
• Conduct dataset discovery and inventory activities across Data Lake zones to identify data assets, understand data lineage and usage, and determine applicable governance and deletion requirements.
• Maintain accurate metadata, dataset inventories, classifications, and other governance documentation.
• Analyze complex datasets and data environments to identify data subject to retention and deletion requirements.
• Develop and execute test plans to validate that data deletion controls and processes have been fully and effectively implemented.
• Perform control testing, document results, identify gaps or deficiencies, and support remediation activities.
• Validate successful deletion or disposition of data across applicable platforms and data stores.
• Use advanced SQL, Python, and PySpark to query, analyze, reconcile, and validate large datasets.
• Work within Databricks, ADLS, Delta Lake, and Azure Data Factory environments to support data discovery, analysis, validation, and governance activities.
• Analyze control and testing results to identify trends, risks, exceptions, and opportunities for process improvement.
• Support evolving data governance requirements and assist in developing controls that address emerging organizational, technology, and regulatory needs.
• Coordinate project activities, dependencies, milestones, risks, and deliverables across multiple stakeholder groups.
• Develop clear documentation, reports, presentations, and status updates for technical and non-technical stakeholders.
• Support audit, compliance, risk, and governance requests by providing appropriate documentation and evidence.
• Communicate findings, risks, dependencies, and recommendations clearly to stakeholders and management.
• Perform other duties as required.

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, Data Analytics, Information Systems, Business, or a related field, or equivalent combination of education and experience.
• Experience supporting enterprise data governance, data management, data lifecycle management, data retention, data deletion, or related initiatives.
• Strong understanding of data governance principles, controls, policies, standards, and frameworks.
• Experience conducting dataset discovery, data inventory, metadata management, or data classification activities.
• Experience developing and executing test plans to validate implementation and effectiveness of data-related controls.
• Strong data analysis skills with the ability to work with large and complex datasets.
• Advanced SQL skills, including the ability to develop complex queries for data discovery, reconciliation, analysis, and validation.
• Hands-on experience with Databricks.
• Experience working with Azure Data Lake Storage (ADLS).
• Experience with Delta Lake and modern data lake/lakehouse architectures.
• Experience with Azure Data Factory (ADF).
• Working knowledge of Python and PySpark for data analysis and processing.
• Strong project management and organizational skills with the ability to coordinate multiple activities, stakeholders, and deadlines.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent written and verbal communication skills, including the ability to communicate technical and governance concepts to both technical and non-technical audiences.
• Ability to work effectively across business, technology, risk, compliance, and data governance teams.

**BRMi will not sponsor applicants for work visas for this position.**

**This is a W2 opportunity only**

EOE/Minorities/Females/Vet/Disabled

We are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes.