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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering enterprise-wide data architecture strategies, with a strong focus on cloud platforms such as AWS, Azure, or Google Cloud. Proficient in data governance, security, and compliance, while mentoring teams to foster collaboration and innovation.
Highest-signal resume keywords
Data ArchitectureCloud Platforms (AWS, Azure, Google Cloud)AI and Machine Learning SolutionsData Governance and ComplianceBig Data Technologies (Apache Spark, Hadoop)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModellingSQLNoSQLPythonScalaJavaData EngineeringEnterprise Technology ArchitectureDistributed Computing FrameworksPerformance Optimization
Soft Skills
Problem-SolvingCommunicationInfluencing StakeholdersCollaborationMentoring
Industry Keywords
Data GovernanceData QualityData SecurityEnterprise Data SolutionsEmerging Technologies
Tech Stack
Tools & technologiesApacheAWSAzureCloudHadoopJavaNoSQLPythonScalaSparkSQL
About the role
Key responsibilities & impact- Design and deliver enterprise-wide data architecture strategies supporting business ambitions
- Architect scalable, secure and high-performing data solutions across cloud and on-premises environments
- Design AI and machine learning solutions addressing business challenges and delivering measurable value
- Improve existing infrastructure and optimise performance
- Identify opportunities to increase efficiency
- Establish data governance, quality, security and compliance frameworks
- Partner with business leaders, engineers and data scientists to turn complex requirements into practical solutions
- Explore emerging technologies and challenge existing approaches
- Help teams remain ahead of technological developments
- Mentor technical colleagues and support a culture of collaboration, learning and innovation
Requirements
What you’ll need- Significant experience in data architecture, data engineering or enterprise technology architecture, including leading large-scale initiatives
- Strong experience designing data platforms using AWS, Azure or Google Cloud
- Expertise in data modelling, SQL, NoSQL and modern database technologies
- Experience with big data technologies such as Apache Spark, Hadoop or distributed computing frameworks
- Programming knowledge in Python, Scala, Java or similar languages
- Experience architecting AI and machine learning solutions, including deploying models into production
- Solid understanding of data governance, security, quality and compliance
- Strong problem-solving skills
- Ability to communicate technical ideas clearly to a wide range of stakeholders
- Ability to influence stakeholders and shape long-term technology decisions
Benefits
Comp & perks- Inclusive work environment where everyone can compete and succeed based on their merits
- Commitment to valuing applicants and employees for their individual talents
- Diversity and non-discrimination commitment