Senior Data Architect
1 month ago
We are seeking a highly skilled and experienced Senior Data Designer to join our team at Alignity Solutions. As a Senior Data Designer, you will be responsible for designing and implementing robust, scalable, and efficient data models that support business analytics, reporting, and data-driven decision-making.
Key Responsibilities:- Design and develop efficient and scalable data models within Snowflake to support a variety of analytics and business intelligence (BI) use cases.
- Define, implement, and maintain data structures, including fact and dimension tables, ensuring adherence to best practices in normalization and denormalization strategies.
- Optimize the Snowflake environment for performance by applying techniques such as clustering, partitioning, and caching, ensuring low-latency querying.
- 5 years of hands-on experience in data modeling, data architecture, and Snowflake development.
- Strong expertise in Snowflake architecture, including features like virtual warehouses, clustering keys, query performance optimization, and security configurations.
- Extensive experience in designing and implementing Star Schema, Snowflake Schema, and 3NF data models for enterprise data warehouses.
- Proficiency in SQL and query optimization techniques, with the ability to design and optimize complex queries.
- Hands-on experience with ETL/ELT tools, such as Informatica, DBT, Fivetran, for data extraction, transformation, and loading.
- Knowledge of data governance frameworks, including experience with metadata management, data lineage, and data quality assurance.
- Understanding of cloud-based data warehousing and analytics tools, with a focus on AWS, Azure, or GCP.
- Experience in Agile/Scrum methodologies and ability to work in fast-paced, collaborative environments.
- Snowflake certification (SnowPro Core/Advanced) is highly desirable.
- Experience with big data technologies, such as Apache Kafka, Apache Airflow, or Databricks.
- Familiarity with data security, privacy standards, and regulatory requirements, such as GDPR or CCPA.
- Proficiency in Python or JavaScript for scripting and automation of data processes.
- Experience with real-time data processing tools and techniques.
- Strong analytical and problem-solving skills, with a keen attention to detail.
- Excellent communication skills, both verbal and written, with the ability to convey complex technical concepts to non-technical stakeholders.
- Proactive mindset, able to anticipate and resolve challenges before they become issues.
- Collaborative team player, who can work effectively in a cross-functional environment.
- Opportunity to work with cutting-edge cloud and data technologies.
- Competitive salary and benefits package.
- Flexible work environment, with opportunities for remote work.
- Career growth and professional development opportunities in a dynamic, data-driven organization.
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