Empresa:

Decskill

Descrição da Função

Decskill was founded in 2014 as an IT Consulting Company and their main mission is to delivery value through the knowledge. We enable companies to meet the chalenges of digital world by providing our clients with business models that ensure technological capacity, flexibility and agility. We are more than 500 consultants with offices in Lisbon, Porto and Madrid.

DECSKILL operates in 3 main areas:

• DECSKILL TALENT, through which we provide our clients with an extension to their IT teams;

• DECSKILL BOOST, through which we provide our client with software development models to increase capacity and optimize Time-to-Market, where we create and manage teams that deliver according to their needs, at the desired speed;

• DECSKILL CONNECT, through which we provide our client with consulting services, as well as the implementation and management of information technology infrastructures.

Our practice results in the creation of value for our customers, either by delivering qualified and value-added services, or through highly qualified and motivated professionals, as well as technology solutions that allow us to operate and transform the business of our customers.

We are looking for an Data Architect!

Responsabilities:

• Ensure consistency in data governance policies and practices across all business platforms to maintain a unified and standardized approach and an alignment with regulatory requirements;
• Implement the technical data stewardship, ensuring a holistic data scanning and data lineage from the main operational and analytics applications;
• Implement global initiatives to improve overall data quality, with a focus on common challenges faced by multiple business platforms;
• Working closely with representatives from each business unit to understand their specific data governance needs and challenges;
• Build with business data owners, the business glossary and the mapping with data assets to achieve a curated data catalogue;
• Provide centralized training programs and communication strategies to ensure that data governance best practices are understood and followed consistently across all business platforms;
• Implement monitoring mechanisms to track data quality, consistency, and adherence to policies across the organization.
• Model business requirements - data aspect - in a normalized, denormalized, star or other standard data model according to the objectives.
• Model business requirements in a data model other than tabular: columnar, graph, geographic, time series, document.
• Model business requirements including data streams, integrations (schema API, CRUD API)
• Design and apply reference data architectures according to the requirements of the data management strategy
• Design and apply a blueprint for an organizational data framework that defines how data is obtained, stored, consumed, integrated and managed in order to enrich the company's DataLakes, MDUs and Datamarts.
• Define indicators inherent to the observability of DataOps organized into 3 aspects:

o Data pipeline operational health (duration, delay, retires, duration between subsquent runs)

o Dataset health (availability, freshess, volume, data schema change)

o Data health (profiling within the "expectation envelope", outlier and anomaly detection, data drift and business rule enforcement).

• Ensuring technical functionalities (e.g. scalability, security, performance, data recovery, reliability, etc.).

Requirements:

• Up to 10 years of experience in the role for the service to be contracted.
• Degree in Software Engineering or Computer Engineering or similar.
• Good written and verbal communication skills.
• Ability to work in a collaborative environment and with global teams.
• Critical analysis and problem-solving skills.
• Knowledge of Agile methodology, JIRA tool and Confluence (valued).
• Commitment to quality deliveries.
• Knowledge of languages (written and oral): English (required), Portuguese (valued), Spanish (valued).
• Up-to-date knowledge of databases and analytical technologies, including datalake/lakehouse architectures and NoSQL storage.
• Experience in Cloud Platforms (one or more: AWS, Google, Azure).
• Knowledge of data governance and data security practices.
• Knowledge of Machine Learning, algorithms and statistical models (such as classification, time series analysis, regression, ).
• Experience in metadata management, data catalogs, data standards and master data management best practices.
• Experience in BigData databases (one or more: BigQuery, Azure Synapse, AWS RedShift, Cassandra, Couchbase, HDFS).

If you're interested in this job, please send your CV to with reference "CA/DataArchitect".

Thank You!

Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being.

Observações

Not Specified (Portugal)