Solution Architect-Data Platforms

Job Description

Data Strategy and Planning: Develop and implement data architecture strategies that align with organizational goals and objectives. Collaborate with business stakeholders to understand data requirements and translate them into actionable plans. Data Modeling: Design and implement logical and physical data models to support business needs. Ensure data models are scalable, efficient, and comply with industry best practices. Database Design and Management: Oversee the design and management of databases, selecting appropriate database technologies based on requirements. Optimize database performance and ensure data integrity and security. Data Integration: Define and implement data integration strategies to facilitate seamless flow of information across. Responsibilities: Experience in data architecture and engineering Proven expertise with Snowflake data platform Strong understanding of ETL/ELT processes and data integration Experience with data modeling and data warehousing concepts Familiarity with performance tuning and optimization techniques Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Cloud & Data Architecture: AWS , Snowflake ETL & Data Engineering: AWS Glue, Apache Spark, Step Functions Big Data & Analytics: Athena,Presto, Hadoop Database & Storage: SQL, Snow sql Security & Compliance: IAM, KMS, Data Masking Preferred technical and professional experience Cloud Data Warehousing: Snowflake (Data Modeling, Query Optimization) Data Transformation: DBT (Data Build Tool) for ELT pipeline management Metadata & Data Governance: Alation (Data Catalog, Lineage, Governance