Solutions Architect - Snowflake Data Cloud | Remote Contract in Yonkers

Energy Jobline
Yonkers, NY, United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Amazon Web Services Business Analytics Applications Microsoft Azure Cloud Computing Cloud Database Software Code Optimization Computer Programming Data Architecture Information Engineering Extract Transform Load (ETL) Data Security Python (Programming Language)
+8 more
Query Optimization Enterprise Data Management Cloud Platform System Data Ingestion Snowflake Data Analytics Software Coding Data Pipelines

Job description

We are seeking an experienced, customer-focused Solutions Architect - Snowflake Data Cloud to support enterprise customers in designing, implementing, optimizing, and scaling solutions on the Snowflake platform., * Strong SQL development and query optimization skills. \n

  • Experience with cloud data warehousing and modern data architecture. \n

  • Knowledge of ETL/ELT processes, data ingestion, transformation, and integration. \n

  • Familiarity with AWS, Azure, or GCP cloud ecosystems. \n

  • Knowledge of data security, access controls, and platform performance. \n

  • Experience creating solution prototypes, demonstrations, or proof-of-concepts. \n

  • Familiarity with Python or other scripting/programming . \n

  • Experience engaging enterprise customers in technical consulting or implementation roles. \n

  • Understanding of analytics platforms, data pipelines, and enterprise data integration. \n

Requirements

Successful candidates will combine strong Snowflake platform knowledge, technical consulting capabilities, cloud data architecture skills, and the communication skills necessary to guide complex customer decisions., * Strong hands-on experience with Snowflake solution architecture and customer-facing technical delivery. \n

  • Demonstrated technical leadership through writing code, designing solution architectures, and recommending implementation approaches. \n

  • Ability to understand customer business objectives and translate them into actionable technical solutions. \n

  • Experience advising technical and non-technical audiences, including developers, architects, and senior executives. \n

  • Experience guiding customers through technical decisions and solution implementation. \n

  • Strong analytical thinking, problem-solving, communication, and technical presentation abilities. \n

  • Ability to work independently, adapt to new technologies, and operate in dynamic customer environments. \n, n \n

  • Prior experience implementing Snowflake solutions for enterprise customers. \n

  • Experience with modern data engineering, cloud analytics, and platform optimization.

Benefits & conditions

This position involves access to ITAR/export-controlled information. Candidates must qualify as a “U.S. person” under applicable U.S. export-control regulations and must be eligible to perform the work without requiring an export license or other export authorization.

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Candidates working under H-1B, F-1 OPT, STEM OPT, or other temporary/nonimmigrant work-authorized status that requires export authorization for access to ITAR-controlled technical data are not eligible for this position.

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The client does not provide immigration sponsorship now or in the future. Please review these requirements carefully before applying.

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This role works across all phases of the customer journey, from technical discovery and architecture planning to solution implementation, optimization, and long-term customer success.

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The ideal candidate is a hands-on technical leader who can write code, design robust data architectures, translate business challenges into scalable solutions, and advise stakeholders ranging from developers and data engineers to senior executives.

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  • Design and deliver scalable, secure, reliable, and high-performing solutions using Snowflake. \n

  • Translate customer business requirements into technical architecture and implementation recommendations. \n

  • Develop solution designs, reference architectures, technical specifications, and implementation plans. \n

  • Guide customers through architectural decisions, deployment strategies, and platform optimization. \n

  • Apply Snowflake implementation and architecture best practices. \n

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  1. Hands-On Technical Development

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  • Demonstrate technical leadership by writing code, developing solution prototypes, and validating architectural designs. \n

  • Create technical proof-of-concepts, demonstrations, and implementation examples. \n

  • Support engineering teams during solution development, deployment, troubleshooting, and optimization. \n

  • Work with relevant SQL, data integration, and cloud platform technologies. \n

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  1. Customer Advisory & Technical Consulting

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  • Engage with customers throughout discovery, design, implementation, adoption, and optimization. \n

  • Understand customer business challenges, technical environments, and desired outcomes. \n

  • Provide trusted technical guidance to developers, data engineers, architects, IT leadership, and senior executives. \n

  • Help customers evaluate solution alternatives, resolve technical challenges, and make informed architectural decisions. \n

  • Translate complex technical subjects into clear business value and actionable recommendations. \n

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  1. Data Architecture & Integration

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  • Support enterprise data architecture, ingestion, transformation, and analytics requirements. \n

  • Advise on Snowflake data integration and data processing approaches. \n

  • Collaborate with customer teams to understand existing databases, data pipelines, and cloud environments. \n

  • Support scalable, maintainable, and secure data solutions. \n

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  1. Platform Performance, Security & Optimization

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  • Evaluate platform performance, architecture efficiency, reliability, and operational considerations. \n

  • Recommend appropriate implementation practices for security, access, and data protection. \n

  • Identify opportunities to improve customer adoption, platform utilization, and operational effectiveness. \n

  • Guide customers through technical tradeoffs and continuous platform improvements. \n

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  1. Cross-Functional Collaboration & Customer Success

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  • Collaborate with solution consultants, architects, engineering teams, customer stakeholders, and implementation partners. \n

  • Communicate technical recommendations, delivery progress, risks, and architecture decisions. \n

  • Facilitate knowledge transfer and enable customer teams to use Snowflake effectively. \n

  • Stay informed about evolving cloud data technologies and Snowflake capabilities. \n

  • Work independently and adapt effectively to rapidly changing technical and customer requirements. \n

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