data architect (m/f) em lisboa

data de publicação
contacto
carolina picarra, randstad portugal
tipo de emprego
permanentes
candidate-se agora

detalhes da oferta

data de publicação
local
lisboa
empregos
Tecnologias de Informação
tipo de emprego
permanentes
número de referência
RP-2019-60971
contacto
carolina picarra, randstad portugal
candidate-se agora

oferta de emprego

Randstad Professionals is the brand of Randstad Group focused on the recruitment of Middle & Top Management.
Our client is a multinational insurance Company, a worldwide reference in this sector. We are currently searching for a Data Architect (m/f).


Responsibilities:

- Research, recommend, design and develop our Data Architecture that accurately translates business requirements to technology and ensures the design will meet business requirements throughout the lifecycle of a change;
- Implement business and IT vision through creation of new architecture strategy to span all data platforms (relational, NoSQL etc);
- Partner with peer architects, design and engineering Information Management teams;
- Ensures system, technical and product architectures are aligned with business objectives.
- Anticipates and manages technology evolution and relates it to business solutions. Sets direction based on alignment to business and overall technology standards;
- Stay informed on initiatives across the industry and the enterprise to help product owners and IT leadership effectively prioritize;
- Tailor communication and convey complex ideas in a concise manner to a diverse set of audiences and venues;
- Craft guidance and support that helps delivery teams identify quality risk factors around security and compliance;
- Provide tools that enable development teams to rapidly build databases that enable them to deploy software that is consistent with the broader architectural vision;
- Identify and assess the organizational impact of enterprise Data Architecture and standards, including change in skills, processes and structures;



Offer:

- Excellent opportunity to be involved in an attractive project.

competências

Profile:

- Bachelors degree in Accounting, Finance or Business;
- AWS Architecture Certification is a plus;
- 10 years demonstrating a high degree of proficiency in designing and engineering complex, highquality data technical architectures and detailed designs;
- 3 or more years in a Data Architecture role architecting data warehouses and/or data lakes and analytics solutions on Amazon Web Services;
- Depth and hands-on experience delivering Data solutions based on AWS data, analytics and machine learning services like S3, Glue, Athena, EMR, Redshift and SageMager;
- Experience using various information management technologies such as Teradata, SAS, Microstrategy, Hadoop, Splunk and/or Informatica;
- Depth and hands-on experience devising Architecture best practices, deliverables, drawings and frameworks;
- A track record of crafting massively scalable, always-on, multi-region data systems;
- Be able to show a history of incrementally transitioning legacy data systems support modern, evolutionary architectures;
- Fluent in various forms of machine learning and have practical experience of how to deploy into applications;
- Understand the consequences of massively concurrent systems, and how to mitigate potential issues;
- Proven expertise in a wide variety of database technologies, from Oracle, SQLServer and DB2 to NoSQL systems such as MongoDB, Couch, Cassandra, and/or Elasticsearch, and can explain their varied use cases;
- Developed strategies for data movement, data obfuscation (data masking), record retention (Deletion and Archival), data infrastructure/security, operational data stores (ODS), enterprise data warehouses, data lakes and the operational reporting;
- Deep knowledge of how to secure complex data systems and infrastructure against different attack vectors. You have lead threat modeling exercises, and helped craft remediation plans;
- You have made the leap of guiding application teams to provide insights and actions through machine learning/artificial intelligence techniques;
- Excellent written and oral communication skills;
- Fluent in English (mandatory). Additional languages are a plus;
- Must have effective analytical, problem solving, and research skills;
- Insurance industry experience is a plus.