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- Tasks: Lead data governance initiatives and ensure high data quality across cloud platforms.
- Company: Join a forward-thinking company focused on modern data solutions and compliance.
- Benefits: Enjoy flexible working options, professional development opportunities, and a collaborative culture.
- Why this job: Make a real impact on data governance while working with cutting-edge technology.
- Qualifications: Bachelor's degree and 5+ years in data governance; experience with Databricks and Azure required.
- Other info: This is a 1-year fixed-term contract role.
The predicted salary is between 48000 - 72000 £ per year.
We are looking for an experienced Data Governance Lead to drive enterprise-wide data governance initiatives with a focus on modern cloud data platforms, specifically Databricks and Microsoft Azure. This role will define and enforce data policies, standards, and best practices that ensure high data quality, security, and regulatory compliance across our data ecosystem. You will collaborate with cross-functional teams to embed governance into our cloud-based data architecture and analytics processes.
Key Responsibilities:
- Develop and implement enterprise-level data governance frameworks, standards, and operating models, aligned with business objectives and compliance requirements.
- Collaborate with data engineering and platform teams to integrate data governance within Databricks and Azure environments, including Data Lake, Synapse, and Purview.
- Define and enforce data classification, access management, and lineage tracking using Azure-native and third-party tools.
- Lead the Data Governance Council, facilitate stakeholder engagement, and ensure alignment across business, IT, compliance, and security teams.
- Establish data quality metrics, rules, and monitoring mechanisms across cloud data pipelines and lakehouses.
- Champion the use of metadata management, data catalogs (e.g., Azure Purview, Unity Catalog), and standardized business glossaries.
- Provide governance oversight for data sharing and consumption in Databricks notebooks, Power BI reports, and machine learning workflows.
- Drive awareness and adoption of governance policies through training, documentation, and data literacy programs.
- Ensure data governance supports regulatory compliance, (e.g. GDPR) and internal risk frameworks.
Qualifications:
Required:
- Bachelor's degree in Information Management, Computer Science, Business, or a related field.
- 5+ years of experience in data governance, data management, or data architecture.
- Hands-on experience with Databricks and/or Microsoft Azure data services (e.g., Data Lake Storage, Synapse, Purview, Azure Data Factory).
- Strong understanding of data governance frameworks such as DAMA-DMBOK.
- Familiarity with data privacy, security, and compliance regulations.
Preferred:
- Certifications in Azure (e.g., Azure Data Engineer, Azure Fundamentals) or Databricks (e.g., Lakehouse Fundamentals).
- Experience with governance tools such as Azure Purview.
- Knowledge of modern data platforms and data lakehouse architecture.
- Excellent communication and leadership skills with the ability to influence across functions.
Locations
Data Governance Lead employer: TalkTalk
Contact Detail:
TalkTalk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Governance Lead
✨Tip Number 1
Familiarise yourself with Databricks and Microsoft Azure by exploring their documentation and online tutorials. This will not only boost your confidence but also help you speak knowledgeably about these platforms during interviews.
✨Tip Number 2
Network with professionals in the data governance field, especially those who have experience with cloud platforms. Attend relevant webinars or local meetups to gain insights and potentially get referrals.
✨Tip Number 3
Stay updated on the latest trends and best practices in data governance by following industry blogs and joining online forums. This knowledge can set you apart and demonstrate your commitment to the field.
✨Tip Number 4
Prepare to discuss specific examples of how you've implemented data governance frameworks in previous roles. Being able to articulate your hands-on experience will show that you're ready to take on this leadership position.
We think you need these skills to ace Data Governance Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data governance, particularly with Databricks and Microsoft Azure. Use specific examples that demonstrate your ability to implement data governance frameworks and collaborate with cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data governance and how your background aligns with the company's objectives. Mention your hands-on experience with cloud data platforms and your understanding of compliance regulations like GDPR.
Showcase Relevant Skills: Clearly outline your skills related to data classification, access management, and lineage tracking. Highlight any certifications you have in Azure or Databricks, as well as your familiarity with governance tools like Azure Purview.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents for any spelling or grammatical errors. Ensure that your application is clear, concise, and free of jargon, making it easy for the hiring team to understand your qualifications.
How to prepare for a job interview at TalkTalk
✨Showcase Your Technical Expertise
Make sure to highlight your hands-on experience with Databricks and Microsoft Azure during the interview. Be prepared to discuss specific projects where you implemented data governance frameworks or worked with cloud data services, as this will demonstrate your capability to handle the technical aspects of the role.
✨Understand Data Governance Frameworks
Familiarise yourself with data governance frameworks like DAMA-DMBOK. During the interview, be ready to explain how these frameworks can be applied in real-world scenarios, particularly in relation to compliance and data quality metrics, which are crucial for the position.
✨Prepare for Cross-Functional Collaboration Questions
Since the role involves collaboration with various teams, think of examples that showcase your ability to work across functions. Prepare to discuss how you've previously engaged stakeholders and aligned data governance initiatives with business objectives, as this will highlight your leadership skills.
✨Demonstrate Your Knowledge of Compliance Regulations
Be well-versed in data privacy and security regulations such as GDPR. You should be able to articulate how data governance supports compliance and risk management, as this is a key responsibility of the role. Showing your understanding of these regulations will set you apart from other candidates.
