Snowflake Solutions Architect

Panzer Solutions LLC; United States; Remote; USD 110,000 - 180,000; Full time

Job summary

A leading company in staffing and recruiting is seeking a talented Solutions Architect with expertise in Snowflake and data governance for a remote contract position. The successful candidate will be responsible for designing advanced data architectures, implementing governance frameworks, and collaborating with various stakeholders to optimize data solutions. This role requires a strong background in data engineering, a strategic mindset to tackle complex problems, and a passion for leveraging Generative AI to enhance efficiency and insights.

Qualifications

• 10+ years of experience in data architecture focused on Snowflake.
• Proficiency in Python and SQL along with modern data tools.
• Strong understanding of data governance principles.

Responsibilities

• Design scalable data architectures utilizing Snowflake and Gen AI.
• Lead teams in developing ETL processes and integration strategies.
• Ensure compliance and security for data systems.

Skills

Data Architecture

Data Engineering

Snowflake

ETL Processes

Generative AI

Python

SQL

Data Security

Cloud Platforms

Education

Degree in Computer Science or a related field

Job description

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Director - Talent Acquisition @ Panzer Solutions LLC | Technical Recruiting

Job : Snowflake Solutions Architect

Location : 100% Remote

Duration : 6+ Months Contract

We are seeking an experienced and innovative Solutions Architect with deep expertise in Snowflake, a strong background in data engineering and data governance, and a keen interest in Generative AI (Gen AI). In this role, you will be responsible for designing and implementing complex data architectures that meet the strategic needs of our clients. You will collaborate closely with stakeholders to define data solutions that optimize the use of Snowflake while integrating Gen AI technologies, ensuring adherence to best practices in data storage, integration, security, and compliance.

Key Responsibilities:

Architect and Design Data Solutions: Develop scalable and efficient data architectures utilizing Snowflake and Gen AI technologies, ensuring alignment with client requirements and industry best practices.

Data Engineering Leadership: Oversee the development and implementation of data pipelines, ETL processes, and integration strategies using modern tools and frameworks (e.g., Snowflake, Python, SQL, and Gen AI frameworks).

Data Governance Framework: Design and implement robust data governance frameworks that ensure data quality, compliance, security, and metadata management across platforms, while addressing the unique challenges posed by Gen AI.

Collaboration with Stakeholders: Engage with clients, internal technical teams, and other stakeholders to gather requirements and translate them into technical solutions, ensuring successful delivery and effective integration of Gen AI capabilities.

Optimize Data Performance: Ensure optimal performance of data systems, focusing on scalability, speed, and efficiency. Troubleshoot and resolve any data-related issues, including those arising from Gen AI implementations.

Innovate and Automate: Implement automation processes for data integration, monitoring, and error handling to enhance efficiency and reduce manual effort, while exploring opportunities to leverage Gen AI for improved automation and insights.

Security and Compliance: Ensure that data security policies are in place and comply with industry standards and regulations, including encryption, access controls, and data masking, particularly in the context of Gen AI applications.

Mentor and Guide Teams: Provide technical guidance and mentoring to junior engineers and team members, promoting best practices in Snowflake, data engineering, and the responsible use of Gen AI technologies.

Required Qualifications:

Proven Experience: 10+ years of experience in data architecture and engineering, with a focus on Snowflake and familiarity with Gen AI applications.

Snowflake Expertise: Deep expertise in the Snowflake Data Cloud platform, including data warehousing, security features, performance tuning, and data sharing.

Strong Data Engineering Skills: Proficiency in SQL, Python, and other relevant programming languages and frameworks used in ETL/ELT processes, with experience in Gen AI frameworks being advantageous.

Cloud Knowledge: Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with their data storage and integration services.

Data Governance Knowledge: Solid understanding of data governance principles and tools, including data lineage, cataloging, data security, and compliance frameworks (e.g., GDPR, CCPA), especially in relation to Gen AI.

Collaboration and Leadership: Strong communication skills and the ability to collaborate effectively with cross-functional teams and clients.

Problem-Solving Mindset: Ability to think strategically and solve complex technical problems in a scalable, efficient manner

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Other

• Industries

  Staffing and Recruiting

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