Cloud Data Architect

JR Spain; Sevilla; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A global consultancy firm is seeking an experienced Data Architect to design and implement data architecture on cloud platforms like AWS. This role involves collaboration with data engineers and business analysts while ensuring compliance with data security regulations. Strong experience with SQL, Python, and cloud-native tools is essential. Ideal candidates will have knowledge of data modeling and migration strategies.

Formación

• Strong hands-on experience with one or more cloud platforms: AWS (e.g., Glue, S3).
• Deep understanding of data modeling, data lake/lakehouse architecture, and real-time streaming.
• Strong communication skills to explain complex technical concepts.

Responsabilidades

• Design and implement end-to-end data architecture on cloud platforms (AWS).
• Document data flows, architecture diagrams, and data lineage for compliance.
• Lead cloud migration strategies for legacy data systems.

Conocimientos

Cloud platforms (AWS)

SQL

Python

Spark

Data modeling

ETL tools

Infrastructure-as-code (IaC)

ML pipelines

Herramientas

DBT

Snowflake

Descripción del empleo

Social network you want to login/join with:

Indegene is a global consultancy at the forefront of driving innovation in the Pharmaceutical and Life Sciences industry, through combining medical and commercial expertise with innovative digital and AI technologies.

We enable global healthcare organizations address complex challenges and drive better health and business outcomes by seamlessly integrating analytics, technology, operations, and medical expertise. Find out more at indegene.com

Who are you?

We are looking for experienced Data Architect for

• Design and implement end-to-end data architecture on cloud platforms (AWS) to support analytics, AI/ML, and enterprise reporting.
• Document data flows, architecture diagrams, and data lineage for transparency and compliance.
• Define cloud-native data strategies including data lakes, data warehouses, and lakehouse solutions.
• Design data models based on data modeling techniques, including OLTP, OLAP, and Data Vault 2.0 methodologies.
• Develop scalable ETL/ELT frameworks for ingesting and processing structured and unstructured data.
• Ensure best practices around data security, privacy, and compliance (e.g., GDPR, HIPAA) in cloud environments.
• Collaborate with data engineers, business analysts, application architects, and DevOps teams.
• Establish data governance, metadata management, and data catalog strategies using cloud-native or third-party tools.
• Lead cloud migration strategies for legacy data systems to cloud-native solutions.
• Create and maintain data architecture documentation including data flow diagrams, lineage, and system designs.

Required knowledge:

• Strong hands-on experience with one or more cloud platforms: AWS (e.g., Glue, S3)
• Proficiency in SQL, Python, Spark, and cloud-native ETL tools.
• Deep understanding of data modeling, data lake/lakehouse architecture, data pipelines, and real-time streaming.
• Experience with Infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) and CI/CD for data infrastructure.
• Experience with modern tools like DBT, Snowflake.
• Exposure to ML pipelines and cloud AI/ML services (e.g., SageMaker, Azure ML).
• Strong communication skills with ability to explain complex technical concepts to non-technical stakeholders.
• Good documentation and coaching practice.

EQUAL OPPORTUNITY

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.