Job Description

Snowflake Analytics Solution Architect with S/4HANA exp

Location : Houston, TX - Hybrid 3 days on site

Duration: 12 Months

Previous Oil & Gas Exp is a must

From client manager:

Attached is a job description for the Solution Architects we re looking for. This will apply to all of the resources that we re looking for. Preference for strong communication skills. The architects will need to work with Business users who will provide requirements. They will then need to translate those business requirements into technical design. We do have Product Owners and Product Managers who will be integral to this process as well.

Job Description

Snowflake Analytics Solution Architects will be at the forefront of designing and implementing modern analytics solutions within the data & analytics ecosystem. They will bridge the gap between business requirements gathered during Global Process Design and the technical implementation in Detailed Design & Build and beyond. This is a 2+ year assignment, stewarding Global Analytics deliverables from design to deployment and transition to support.

Required Skills

• Proficiency in designing and developing data models, schemas, and queries within the Snowflake Cloud Data Warehouse
• Experience with setting up and managing data pipelines using Fivetran and Qlik Replicate for seamless data synchronization
• Knowledge of APIs and streaming data
• Understanding of the principles behind the data mesh approach and its implications for modern data architectures
• Expertise in building and optimizing data pipelines using Snowflake and SQL
• Familiarity with DBT (Data Build Tool) for transformation
• Expertise in designing and optimizing data pipelines for reliability and performance
• Proficiency in the analytics stack relevant to the assigned track
• Familiarity with source systems such as SAP S/4HANA (S4)

Responsibilities

Solution Architecture

• Collaborate with stakeholders (Business Analytics Leads, D&B Leads, etc.) to understand business needs and translate them into scalable architectures
• Design end-to-end data products that encompass data ingestion, transformation, storage, and consumption
• Evaluate and recommend appropriate technologies and tools based on requirements
• Take ownership for the technical design and build for a given track within Polaris Analytics
• Estimate the size and complexity of business requirements and manage inter-track technical dependencies

End-to-End Solution Design and Build

• Architect end-to-end data products, including systems, processes, integrations, and consumption layers
• Ensure efficient and reliable data movement from source systems to data warehouses
• Optimize data pipelines for performance, scalability, and maintainability
• Ensure adherence to IT principles and architecture mandates
• Oversight on Deloitte Factory to build per design and ensure high quality of deliverables from vendor
• Implement best practices for observability, automation, and thorough handovers
• Mentor junior team members and provide guidance on best practices
• Collaborate with security and infrastructure teams to address data privacy concerns

Testing and Deployment

• Lead testing efforts to validate the solution s functionality and performance
• Implement observability tools to monitor system health
• Facilitate smooth transitions to support teams

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Dice Id: 10519203
• Position Id: 8538589

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