Senior Data Solutions and Cloud Architect

Sobre o nosso cliente

This new team will be working full remote and will be responsible for the Data & Analytics platform that integrates business/enterprise, customer and market data. It will also interface with the digital unit within the company that deals with medical, hospital and IoT data from our products at doctors or healthcare providers.

The team will architect, design, implement as well as run the global Data & Analytics platform. It will also engage company-wide communities of Data Scientists, Machine Learning Engineers, and Cloud & Data Architects.

The main goal is to create a Company-wide team to pioneer advanced analytics, including ML and AI, establishing the framework for Global Data Analytics. Through collaboration, each model contributes to collective intelligence, driving innovation and synergy.

Descrição

• Share responsibility for business impact and timely delivery of prioritized Data and Analytics solutions in collaboration with business owners, subject matter experts, data scientists and Analytics product owners.
• Define and build company-wide frameworks and libraries that will enable faster, better and more informed decision-making within the business and help create business value out of Data & Analytics.
• Plan and deliver secure, good practice data integration strategies and approaches.
• Help ensure data availability and accessibility for prioritized Data and Analytics scope as well scalable, and modular data science pipelines from data exploration, training, development, and deployment.
• Work with key stakeholders within the company to help model their data landscape, obtain data extracts,and define secure data exchange approaches.
• Acquire, ingest, and process data from multiple sources and systems into their cloud platform (Azure).Create and manage data environments in the Cloud.
• Collaborate with our data and data scientist teams to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models.
• Have a strong understanding of Information Security, Cyber Security and Data Privacy principles to ensure compliant handling and management of data, including access strategies.
• Ability to define and build smart automation based on modern cloud technologies, based on business priorities and needs.
• Acts as main interface and key collaboration partner with other data and cloud-related activities.

Perfil ideal

• At least 4-6 years of relevant working experience.
• Proven ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets.
• High proficiency in at least one programming language - Javascript, Python, Scala or Java.
• Strong experience in multiple database technologies such as: Distributed Processing (Spark, Hadoop, EMR) Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL) MPP (AWS Redshift,Teradata) NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan).
• Strong understanding of Information Security principles to ensure compliant handling and management of data.
• Strong experience and interest in Cloud platforms (preferably Azure) and all its services and ecosystem.
• Strong experience in traditional data warehousing / ETL tools.
• Proficiency in architecting, building and maintaining cost-efficient and scalable cloud environments.
• Ability to write infrastructure as code using CloudFormation or similar (Terraform).
• Ability to understand business and create cloud-bases solutions to fill those objectives.
• Result-driven, be an analytical and creative thinker.
• Ability to work with cross-functional teams and bring business and data science closer together -consultancy experience a plus.
• Fluency in English a must, additional languages a plus.

Vantagens

A great opportunity for growth on a greenfield team.