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Cloud Data Solutions Architect
2 months ago
Cloud Data Solutions Architect is required by our global consultancy client
We are seeking a highly skilled and experienced Cloud Data Solution Architect to join our dynamic team. The ideal candidate will have a strong background in architecture and data engineering, with a primary focus on AWS cloud-native tools. Experience with Azure and GCP is a plus. The role also requires proficiency in leading data platforms such as Databricks and Snowflake.
Responsibilities:
- Cloud Architecture and Strategy: Design and implement robust, scalable, and cost-effective cloud architectures using AWS, with considerations for Azure and GCP environments.
- Data Engineering: Develop and manage data pipelines, ETL processes, and data integration workflows using cloud-native tools and services.
- Platform Expertise: Leverage Databricks, Snowflake, BigQuery, Synapse/Microsoft Fabric, and Redshift for data processing, analytics, and warehousing.
- Solution Design: Create comprehensive data solutions that address business needs, ensuring high performance, security, and scalability.
- ERP Data Integration: Integrate data from ERP sources, such as SAP, utilizing batch processing, Change Data Capture (CDC), and delta load design patterns.
- Collaboration: Work closely with stakeholders, including data scientists, analysts, and business teams, to understand requirements and deliver optimal solutions.
- Data Governance and Security: Implement data governance and security requirements, working closely with customers and using tools like Collibra and SAP Datasphere to ensure compliance and data integrity.
- Open Source Table Formats: Utilize open-source table formats such as Apache Iceberg and Delta Lake for efficient data storage and processing.
- Data Modeling: Apply advanced data modeling techniques such as Data Vault and Data Mesh to support flexible and scalable data architectures.
- Best Practices: Establish and promote cloud data best practices, guidelines, and standards across the organization.
- Innovation: Stay current with emerging technologies and industry trends, applying innovative approaches to enhance data architecture and engineering practices.
- Mentorship: Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.
Required Skills and Experience:
Cloud Platforms:
- Extensive experience with AWS (e.g., S3, Redshift, Glue, Lambda, EC2, RDS, IAM)
- Familiarity with Azure (e.g., Azure Data Lake, Azure Synapse Analytics, Azure SQL Database)
- Familiarity with GCP (e.g., BigQuery, Cloud Storage, Dataflow)
Data Platforms:
- Proficiency in Databricks for big data analytics and machine learning
- Expertise in Snowflake for data warehousing and real-time analytics
- Experience with BigQuery, Synapse/Microsoft Fabric, and Redshift
Data Engineering:
- Strong knowledge of ETL/ELT processes and data pipeline orchestration
- Experience with data integration tools and methodologies
- Experience in integrating data from ERP sources like SAP
- Proficiency in data ingestion techniques, including batch processing, Change Data Capture (CDC), and delta load design patterns
- Open Source Table Formats:
- Experience with Apache Iceberg and Delta Lake for managing large-scale data lakes
Data Modelling:
- Familiarity with advanced data modelling techniques such as Data Vault and Data Mesh
- Programming and Scripting:
- Proficiency in Python, SQL, and other relevant languages
- Data Governance:
- Experience implementing data governance and security requirements
- Proficiency with data governance tools such as Collibra and SAP Datasphere
- Understanding of data security best practices and compliance requirements (e.g., GDPR, HIPAA)
Soft Skills:
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration abilities
- Ability to translate complex technical concepts into business-friendly language
- Previous experience in a similar role within a fast-paced, agile environment
- Proven track record of successful cloud data project implementations
Qualifications
Certifications:
- AWS Certified Solutions Architect
- Azure Solutions Architect Expert
- Google Professional Cloud Architect
- Databricks Certified Data Engineer
- Snowflake SnowPro Certification