Head of Data Architecture
hace 2 semanas
Head of Data Architecture - PagoNxtCountry: Spain
**WHAT YOU WILL BE DOING**
**PagoNxt Trade is looking for a Head of Data Architecture, based in our Madrid office.**
**WHY YOU SHOULD CONSIDER THIS OPPORTUNITY**
**PagoNxt **is a new company wholly owned by Santander that incorporates our most disruptive payments & trade businesses into a single, autonomous company, creating one of the largest private fintech companies in the world. This new company will deliver payment & trade solutions for merchants and consumers with compelling technology to become a leading global payments provider in the medium term.
In order to achieve these goal, PagoNxt is organized in three different business:
- Merchant Solutions, for merchants and acquirers.
- Trade Solutions, for corporates and SMEs.
- Consumer Solutions, digital products and services for individuals.
This role will be part of our PagoNxt Trade Solutions team and will be responsible for delivering fast, efficient trade finance, supplying chain and FX payments solutions for international SMEs that were once only accessible to larger corporations.
Santander is proud of being an organization where there are equal opportunities regardless of gender identity, culture and disability. Our mission is to contribute to help more people and business prosper. We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
**WHAT YOU WILL BE DOING**
As a **Head of Data Architecture, **you will lead the teams responsible for the infrastructure, architecture, operations, and integrations of PagoNxt Trade Data Platform.
We need someone like you to help us in different fronts:
- Be responsible for elaborating the vision and roadmap of our Data Platform, and help shaping the products and business processes which will be built on them.
- You will join the IT Architecture department, driving vision, strategy, decisions, implementation, and adoption of our data platform architecture, quality, modeling, security, and compliance.
EXPERIENCE
- 8+ years of extensive experience in Data technologies across streaming and batch-oriented realms, cutting across data acquisition, storage, processing, and consumption patterns in operational and analytical domains, as well as expertise in cloud-related data services (Azure / AWS / GCP).
- Have led technical Architecture, Design, and Delivery of Big Data and Cloud Data solutions (Azure, AWS, GCP) for multiple projects. Proven track record of architecting, designing, and delivering complex Big Data and Cloud Data projects (AWS, Azure, GCP) to solve problems at scale, especially distributed data platforms (Hadoop/Kafka).
- Previous experience leading a team of mixed seniority profiles in different areas (from Data Architects to Data Engineers, from Product Managers to non-tech Business counterparts)
- Extensive experience in migration projects, moving high volume databases from on-premise to cloud native solutions.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Knowledge and experience in architecting and designing modern data integration patterns for high volume transactional and analytics data platforms
- Experience in performance-tuning, optimization, and scaling solutions from a storage/processing standpoint.
- Experience with setting up data engineering practices across architecture, design, coding, quality assurance, and deployment of such, using industry-standard DevOps practices for CI/CD, and leveraging tools like Jenkins/Bamboo, Github Actions, Maven, Junit, SonarQube, Terraform, Kubernetes, Openshift and containerisation.
- Solid understanding of Data Governance, Data Security, Data Cataloguing, and Data Lineage concepts.
- Lean-thinking mindset, comfortable with Agile planning and estimation rituals, flexible, and able to thrive in a fast-paced, innovative young company.
EDUCATION
- Computer Engineering or similar.
SKILLS & KNOWLEDGE
- Cloud computing architecture : Azure and AWS
- SQL Databases : PostgreSQL, MySQL, Oracle
- No-SQL Databases: MongoDB, Redis, ElasticSearch, Cassandra
- Version Control System: Git
- Knowledge and experience with workflow management (Nextflow, Snakemake, Airflow, etc.).
- Deep knowledge of scalable data models, queries, and operations that address various consumption patterns, including random-access and sequential-access, and necessary optimisations like bucketing, aggregating, and sharding.
- Excellent written and verbal English-language communication skills, with the ability to adapt the level of detail to various audiences, and able to concisely explain technical concepts to business stakeholders.
DESEABLE:
OTHER INFORMATION
- If you want to know more about us, follow us on _
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