Senior Data Architect
2 months ago
We are seeking a highly skilled Data Architect to join our team at Project X Ltd. As a key member of our data strategy team, you will be responsible for designing, implementing, and overseeing end-to-end data solutions that address complex business challenges and unlock the value of data for our clients.
Key Responsibilities- Data Strategy and Planning:
- Collaborate with clients to understand their business goals and develop data strategies aligned with their objectives.
- Lead the planning and roadmap development for data architecture projects, ensuring alignment with organizational priorities.
- Data Modeling and Design:
- Design and develop conceptual, logical, and physical data models to support business requirements and data analysis needs.
- Implement best practices for data modeling, including normalization, denormalization, and dimensional modeling techniques.
- Data Integration and ETL Development:
- Lead the design and implementation of data integration solutions to consolidate and harmonize data from multiple sources.
- Develop and optimize Extract, Transform, Load (ETL) processes to ensure efficient data movement and transformation.
- Database Management and Optimization:
- Provide expertise in database management tasks such as database installation, configuration, performance tuning, and capacity planning.
- Optimize database performance and scalability through indexing strategies, query optimization, and partitioning techniques.
- Data Governance and Security:
- Define and enforce data governance policies and standards to ensure data quality, integrity, and security.
- Implement access controls, encryption, and auditing mechanisms to protect sensitive data assets.
- Data Visualization and Reporting:
- Design and develop interactive dashboards, reports, and visualizations to communicate insights and key metrics to stakeholders.
- Utilize data visualization tools such as Power BI, Tableau, or equivalent to create compelling and actionable visualizations.
- Documentation and Knowledge Sharing:
- Create and maintain documentation for data architecture solutions, including technical specifications, data dictionaries, and architectural diagrams.
- Share knowledge and best practices with team members and clients through training sessions, workshops, and knowledge transfer activities.
- College degree, Bachelor's, or Master's degree in Computer Science, Information Systems, or a related field.
- 3-5 years of experience in data architecture, data modeling, and database design.
- Proficiency in data modeling tools such as ERwin, ER/Studio, or equivalent.
- Strong SQL skills and experience with relational database management systems (e.g., SQL Server, Oracle, PostgreSQL).
- Hands-on experience with ETL tools and processes, such as Informatica, Talend, or SSIS.
- Expertise in data visualization and reporting tools such as Power BI, Tableau, or QlikView.
- Knowledge of data governance principles, data security practices, and regulatory compliance requirements.
- Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
- Strong communication and interpersonal skills, with the ability to effectively collaborate with clients and team members.
- Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform).
- Familiarity with big data technologies such as Hadoop, Spark, or NoSQL databases.
- Certification in relevant technologies or methodologies (e.g., Microsoft Certified: Azure Data Engineer Associate, TOGAF Certified).
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