Senior Data Architect (Permanent)

🌍 Remote, USA 🚀 Full-time 🕐 Posted Recently

Job Description

About the position

Whether you are looking for your next career move in data or looking to become an associate working alongside a leading consultancy, then look no further. At LEIT DATA we are passionate about data and have created a culture which fosters innovation, personal development and career growth opportunities.
We believe that every colleague plays an integral role in the company’s success, whether through customer engagement or working behind the scenes to manage the day-to-day business operation. We have structured in a way which provides each colleague a voice and provides career progression aligned to their aspirations. Through close partnerships with technology vendors, we can provide training and mentoring, ensuring each member of the team has an opportunity to grow and maximise their full potential.
An experienced Data professional or Architect with consultancy skills and a focus on Snowflake, modern data tools (dbt, airflow, python etc.) and modern data Architecture practices (Data Products, Data Mesh, Data Governance, Data Modelling, Data Quality.).
As a Senior Data Architect of LEIT Data, you’ll be assigned to various Client projects to lead and/or deliver data platforms following modern best practices.
Tasks will be varied and can be solo or team based deployments.
In all situations, you will operate as a professional consultant, addressing tasks at hand and continuously adding value in observations and best practice.
You will have support and access to LEIT resources and our strategic partners.
You will get the opportunity to learn and develop both your consultancy and data skills, with a primary focus around Snowflake and its ecosystem.
You will have the opportunity to explore new features and functionality across various vendor products either as part of Client implementations or through our strategic partners.
You will also have the opportunity as we grow to potentially manage larger teams, and work on internal R&D projects which can be “product” based and/or for optimisation/automation purposes.
You will have opportunity to work alongside leading professionals in the Data industry

Collaborate with our clients to design and build modern data platforms using a variety of technologies
Help lead the design and implementation of complex, cloud-based data platforms
Implement scalable and secure Data platforms
Mentor and upskill other engineers, both client and internal
Help drive effective development patterns and delivery practices
Help maintain and improve our internal tools and design patterns
Continually improve with our internal development program, including mentoring and paid training / certifications

3 years+ experience with Snowflake
Skilled in Data Architecture practices (RBAC, Data Classification, Data Modelling, Data Products/Mesh, Data Governance etc.)
4 years+ experience with AWS or Azure
Problem solving and consultancy skills
Experience with SDLC, CICD, DevOps and DataOps processes
Experience across Designing, Implementing and Managing Data platforms, including Data Governance, Observability and Automation
Strong communication skills, including stakeholder management up to CXO level
You’ll be able to help understand business requirements, and translate those into technical requirements, design patterns and stories for development
Able to lead Architecture and Engineering teams, where required
Providing mentoring and guidance to less knowledgeable Engineers
Hands-on experience and highly proficient in Snowflake
SnowPro Core certified (or completing in the first 3 months after joining LEIT, looking to complete advanced cert in the medium term)
Advanced SQL skills
Experience in the modern Data Stack eg dbt, Airflow or similiar technologies
At least two of the following Data Platform Setup and Capabilities, Cloud Infrastructure Setup (particularly with Snowflake), Data Modelling (IRM/EDM to Physical, Data Vault 2.0), Data Solution Design
Ability to work in Agile ways
Working knowledge of data regulations (e.g. GDPR)
Good understanding of the SDLC

Ideally certified in AWS and/or Azure.
Preferably, experience working with the following: Python, Containers (Docker preferred), CICD Pipelines, Infrastructure as Code, Real-time / event-based data, Data quality frameworks, Cloud Platforms, Data Migration