Solution Architect-Data Platforms

Job Description

Role Overview In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers) , where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role and Responsibilities 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 systems. 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)