Data Architecture Specialist
5 days ago
We are seeking an experienced Senior Data Architect to join our team at Astro Studios, Inc. In this role, you will design and implement data architecture solutions that meet the needs of our clients.
About the RoleThis is a senior-level position that requires a deep understanding of data architecture principles, database systems, and cloud technologies. The successful candidate will have experience working with large datasets, designing and implementing ETL processes, and ensuring data security and compliance.
Key Responsibilities- Data Architecture Design: Create and maintain conceptual, logical, and physical data models to support the enterprise data strategy.
- Data Strategy and Governance: Define and implement data management strategies, including data governance, metadata management, and data quality controls.
- Database and Cloud Technologies: Select appropriate database solutions (SQL, NoSQL, Data Lakes) and cloud platforms (AWS, Azure, Google Cloud) to support the organisation's data infrastructure.
- Data Integration: Develop and manage ETL (Extract, Transform, Load) processes to ensure data from multiple sources is properly integrated into centralized systems.
- Collaboration and Communication: Work closely with business stakeholders, data analysts, data engineers, and clients to understand requirements and deliver scalable data solutions.
- Security and Compliance: Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, HIPAA) by implementing data encryption and anonymisation techniques.
To be considered for this role, you should have:
- Experience: 3+ years of experience in data architecture, database design, or data engineering roles.
- Proven Experience: Proven experience with database management systems (e.g., Oracle, SQL Server, PostgreSQL) and data warehousing technologies.
- Cloud-based Experience: Experience with cloud-based data solutions (AWS, Azure, GCP).
- Big Data Technologies: Familiarity with big data technologies like Hadoop, Spark, and Kafka.
You should have proficiency in:
- Data Modelling: Data modelling (ERD, normalization) and data warehousing concepts.
- ETL Frameworks: Strong understanding of ETL frameworks and tools (e.g., Talend, Informatica, Apache NiFi).
- Programming Languages: Knowledge of programming languages such as SQL, Python, or Java.
- BI Tools: Experience with BI tools (e.g., Power BI, Tableau) and data visualisation best practices.
We are looking for someone with:
- Problem-Solving Skills: Excellent problem-solving skills and attention to detail.
- Communication Skills: Strong communication skills to explain technical concepts to non-technical stakeholders.
- Collaboration: Ability to work in a fast-paced, collaborative environment.
The salary range for this position is $120,000 - $180,000 per year, depending on experience. We also offer a comprehensive benefits package, including health insurance, 401(k), and generous paid time off.
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