Cloud Data Architect Expert

7 days ago


London, Greater London, United Kingdom FalconSmartIT Full time

About FalconSmartIT

FalconSmartIT is a cutting-edge technology firm dedicated to delivering innovative data solutions.

We are seeking an experienced Cloud Data Architect Expert to join our team and help shape the future of our data practice.

Salary: £120,000 - £180,000 per annum

This is a fantastic opportunity for a skilled professional to work on high-profile projects, collaborate with top talent, and drive business growth.

Job Description:

Data Strategy and Architecture: Design and implement cloud-based data platforms on AWS and Snowflake, including services such as Data Strategy, DB Management, Data Warehousing, Data Migrations, ETL pipelines, Data Modelling, RDM/MDM, Data Observability, Enterprise Data Platforms, Reporting, and Analytics.

Project Delivery: Deliver complex Data & AI projects, conduct assessments of the data landscape, offer expert guidance on tool or platform portfolio rationalisation, and provide solutions for modernising, migrating, and integrating cloud applications.

Technical Expertise: Proven experience as a Cloud Data Architect, with expertise in various AWS services such as EC2, S3, Aurora, DynamoDB, Redshift, Lambda, Glue, Athena, Quicksight, and Sagemaker, among others.

Snowflake Expertise: Proficiency in Snowflake's architecture and familiarity with its features, including Snowpipe, Streams, and Tasks used for real-time data processing. Additionally, familiarity with Streamlit and knowledge of DevOps practices for CI/CD pipelines.

Certifications: Should hold relevant technical certifications from AWS and Snowflake.

Assessments and Solutions: Conduct data landscape assessments and provide solutions for modernising, migrating, and integrating applications on the cloud using industry best practices.

Stakeholder Engagement: Engage with business and technology stakeholders, collect necessary information, comprehend client expectations, clarify details through workshops, and propose and discuss optimal solutions.

Project Management: Ability to deliver projects manage and troubleshoot any escalated issues related to Data & AI delivery.

Collaboration: Work closely with the pre-sales, account, and sales teams, providing support throughout all phases of Data & AI deal pursuits and expand existing projects.

Education and Experience: Possess a Bachelor or Masters degree in IT, Computer Science, Engineering, Business, or Decision Sciences, and 13-17 years of work experience at a reputable Data & AI services firm.

Bonus Skills: Familiarity with MDM tools such as Informatica, Profisee, etc., prior experience in collaborating with AWS and Snowflake to adapt and refine go-to-market strategies at the account level, understanding of the Agile methodology for development and execution, proficient in data consumption design patterns such as semantic layers and visualisations, experience in implementing MLOps projects, and maintains an active learning approach.



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