Principal Architect Data Analytics, Madrid

Principal Architect Data Analytics
Role description

We are still looking for the very Top Talent...and we would be delighted if you were to join our team

More in details, UST is a multinational company based in North America, certified as a Top Employer company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.

What are we looking for?

We are looking for a Data, Analytics AI Architect to define and drive the strategic vision for enterprise data and AI systems. This role focuses on designing and implementing scalable, secure, and innovative data platforms and AI capabilities that enable business intelligence, advanced analytics, and machine learning across the organization.

As part of the Data, Analytics AI Architecture team, you will shape the enterprise data and analytics strategy, ensuring alignment with business goals. You will act as a trusted advisor on complex projects, owning architectural artifacts, high-level designs, proof of concepts (POCs), and deployment support for data, analytics, and GenAI solutions.

Key Responsibilities
- Architecture Leadership
- Define and maintain architecture patterns, principles, and best practices.
- Design solutions for data and analytics initiatives, ensuring alignment with enterprise objectives.
- Analyzes current architectures to identify weaknesses and develop opportunities for improvements
- Deliver architectural artifacts, solution blueprints, and roadmaps.
- Collaborate with cross-functional teams and influence senior stakeholders.
- Innovation Emerging Tech
- Lead proof-of-concept initiatives for new technologies.
- Assess capability maturity and build future-state architecture roadmaps.
- Evaluate and recommend emerging technologies to foster innovation.
- Expertise in data platforms, cloud technologies (Azure, AWS, GCP), data modeling, and analytics tools.
- AI/ML Integration
- Develop and deploy models using TensorFlow, PyTorch, Scikit-learn.
- Familiarity with cloud-based ML platforms, such as AWS SageMaker, Azure Foundry, or Google AI Platform, Mosaic AI
- Experience in utilizing tools like MLflow for managing the ML lifecycle, including experimentation, reproducibility, and deployment
- Knowledge of natural language processing (NLP) and/or reinforcement learning techniques as applicable to business use cases
- Ability to integrate advanced analytics and AI/ML models into existing data workflows, ensuring seamless access and usability

Work Experience:
9-12 years of experience in data and analytics solution delivery or related position
5-8 years of architecture or design experience across a broad range of data and analytics capabilities with a cloud background

Technical Skills:
Data and Analytics computing methodologies
Data and Analytics platforms, tools, and integration processes both on-prem and cloud
Common integration patterns (batch, micro-batch, near real time, real time)
Data Fabric framework
Basic Programming skills in Python, SQL
Data management and data security

Tools Knowledge:
Data pipeline tools like ADF, IICS
Data platforms: Snowflake, Databricks, BigQuery
BI tools: Power BI, Tableau, Looker
Cloud platforms: Azure, AWS, GCP
Streaming/Event processing and pub/sub software
AI/ML Tools like MLOps, Tensorflow, Mosaic AI, AWS Sagemaker, Pytorch

Relevant cloud provider architect certifications, TOGAF, CDMP would be desirable

¿What can we offer?

-23 days of Annual Leave plus the 24th and 31st of December as discretionary days

-Numerous benefits (Heath Care Plan, Internet Connectivity, Life and Accident Insurances).

- Retribución Flexible Program: (Meals, Kinder Garden, Transport, online English lessons, Heath Care Plan...)

-Free access to several training platforms

-Professional stability and career plans

-UST also, compensates referrals from which you could benefit when you refer professionals.

-The option to pick between 12 or 14 payments along the year.

-Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime...)

-UST Club Platform discounts and gym Access discounts

TensorFlow, PyTorch, Scikit, Python, SQL