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For Companies At a Glance
- Tasks: Design business processes and cloud architecture while collaborating with clients and stakeholders.
- Company: Join Prodapt, a leader in innovative tech solutions, committed to excellence and customer satisfaction.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of data management with cutting-edge technology.
- Qualifications: Proven experience in data architecture, especially with Snowflake, and strong SQL skills required.
- Other info: Relevant certifications in Snowflake or related fields are a plus.
The predicted salary is between 43200 - 72000 £ per year.
Overview
The Technical Architect is a key position that reports to the Principal Architect in the Enterprise/COTS department at Prodapt. The role is responsible for designing business processes as per customer needs, strategizing cloud architecture and migration, and upholding Prodapt’s winning values and contributing to the company’s vision.
Responsibilities
- Business Process Design: Designing one or more business processes as per customer needs.
- Requirement Management: Creating High-level and Low-level design documents in collaboration with senior architects for COTS solution.
- Product Analysis: Performing functionality analysis, designing solutions around customizations, and identifying interfaces and integration considerations.
- Proposal Building: Driving and leading proposal pitches regarding the functional implementation of COTS products.
- Cloud Data Platform: Design, architect and enable build of data platform on products like Snowflake.
Requirements
- Collaborate with clients and stakeholders to gather and understand technical and business requirements.
- Assess various technologies and tools to recommend the most suitable solutions for different projects.
- Assess Data warehouse implementation procedures to ensure they comply with internal and external regulations.
- Prepare accurate Data warehouse design and architecture reports for management.
- Oversee the migration of data from legacy systems to new solutions.
- Monitor the system performance by performing regular tests, troubleshooting and integrating new features.
- Recommend solutions to improve new and existing Data warehouse solutions.
- Ensure solutions are scalable and adaptable for future modifications, considering the organization’s goals.
- Understand and document data flows in and between different systems/applications.
- Act as Data domain expert for Snowflake in a collaborative environment to provide demonstrated understanding of data management best practices and patterns.
- Implement cloud-based Enterprise data warehouse solutions with multiple data platforms along with Snowflake environment to build data movement strategy.
- Collaborate with project managers and developers to guide development processes in line with solution requirements.
- Lead in Developing Project requirements for end-to-end Data integration process using ETL for Structured, semi-structured and Unstructured Data.
- Make necessary on-going updates to modeling principles, processes, solutions, and best practices to ensure that the Snowflake is aligned with business needs of the environment.
- Provide guidance to developers in preparing functional/technical specs to define reporting requirement and ETL process.
- Educate staff members through training and individual support.
- Offer support by responding to system problems in a timely manner.
Experience
- Proven experience as a Data Architect, Data Engineer with expertise in designing and implementing data solutions on Snowflake.
- In-depth knowledge of Snowflake’s architecture, features (ELT using Snowpipe, implementing stored procedures and setting up resource monitors, RBAC controls, virtual warehouse, query performance tuning, Zero copy clone, time travel), functionalities and understand how to use these features.
- Understanding of data security, encryption, access controls (RBAC, authentication & authorization), and compliance standards (GDPR, HIPAA, etc.).
- Proficiency in SQL, scripting languages (e.g., Python, Bash) and experience optimizing queries for performance.
- Strong understanding of data modeling principles, data warehousing concepts, ETL/ELT processes, and building data pipelines.
- Experience in implementation, execution, and maintenance of Data Integration solutions.
- Experience with cloud technologies (AWS, Azure, or GCP) and integration tools.
- Experience in Data Migration from various sources to Snowflake cloud data warehouse.
- Experience working with code repositories, continuous integration & continuous deployment.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Relevant certifications or qualifications in Snowflake or related fields are a plus.
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Snowflake Data Architect employer: Prodapt
Contact Detail:
Prodapt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Architect
✨Tip Number 1
Familiarize yourself with Snowflake's architecture and features. Understanding key functionalities like ELT using Snowpipe and query performance tuning will give you an edge during discussions with our team.
✨Tip Number 2
Brush up on your SQL and scripting skills, especially in Python and Bash. Being able to demonstrate your proficiency in optimizing queries can set you apart from other candidates.
✨Tip Number 3
Showcase your experience with cloud technologies like AWS, Azure, or GCP. Highlighting your familiarity with these platforms will be crucial as we work on cloud-based data solutions.
✨Tip Number 4
Prepare to discuss your approach to data security and compliance standards such as GDPR and HIPAA. This knowledge is essential for ensuring that our data solutions meet regulatory requirements.
We think you need these skills to ace Snowflake Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Snowflake Data Architect position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasize your proven experience as a Data Architect or Data Engineer, particularly your expertise in designing and implementing data solutions on Snowflake. Mention specific projects or achievements that demonstrate your skills.
Showcase Technical Skills: Clearly outline your technical skills related to Snowflake's architecture, SQL proficiency, and any scripting languages you are familiar with. Include examples of how you've utilized these skills in past roles to solve complex problems.
Tailor Your Application: Customize your cover letter to reflect Prodapt's values and vision. Discuss how your background and approach to data architecture can contribute to their goals, especially in cloud migration and data management best practices.
How to prepare for a job interview at Prodapt
✨Showcase Your Snowflake Expertise
Make sure to highlight your in-depth knowledge of Snowflake's architecture and features during the interview. Be prepared to discuss specific functionalities like ELT using Snowpipe, RBAC controls, and query performance tuning, as these are crucial for the role.
✨Demonstrate Business Process Design Skills
Prepare examples of how you've designed business processes tailored to customer needs in previous roles. This will show your ability to align technical solutions with business objectives, which is key for this position.
✨Discuss Data Migration Experience
Be ready to talk about your experience with data migration from legacy systems to cloud solutions, particularly Snowflake. Highlight any challenges you faced and how you overcame them to ensure a smooth transition.
✨Communicate Complex Concepts Simply
Since you'll need to explain technical concepts to non-technical stakeholders, practice simplifying complex ideas. Use clear examples to demonstrate your ability to bridge the gap between technical and business teams.
