Aws Data Architect

**About the Role**:
We are seeking a highly skilled **Senior Data Architect** with AWS expertise and a strong background in banking and financial services. In this role, you will lead the design and implementation of data architectures on AWS, building cutting-edge solutions for data lakes, data warehouses, and ETL pipelines to enable advanced analytics and machine learning workflows. You will work closely with engineering teams to ensure data governance, security, and compliance while optimizing database performance and scalability.

**Key Responsibilities**:

- **End-to-End Data Architecture Design**: Lead the design and implementation of comprehensive data architectures on AWS, including data lakes, data warehouses, and ETL pipelines that meet business needs in banking and financial services.
- **AWS Service Implementation**: Utilize AWS services such as **S3, Redshift, RDS, Glue, Lambda**, and **EMR** to develop and implement robust data solutions, ensuring scalability, security, and performance.
- **Data Governance & Compliance**: Ensure adherence to data governance best practices, industry standards, and compliance requirements relevant to the banking and financial sectors.
- **Support Data Processing Workflows**: Support both real-time and batch data processing for analytics, business intelligence, and machine learning workflows, leveraging AWS data technologies.
- **Technical Leadership & Mentorship**: Provide guidance and mentorship to data engineering teams, fostering a culture of innovation and continuous improvement.
- **Innovation in Data Solutions**: Drive the evolution of data architectures by implementing new technologies and approaches to enhance data processing and analytics capabilities.

**Requirements**:

- **Educational Background**: Bachelor's or Master's in **Computer Science, Data Engineering**, or a related field.
- **Language**: Fluent Spanish & English are required
- **Experience**:

- 10+ years of experience in **data architecture** and **data engineering**.
- At least 3+ years of hands-on experience working with **AWS** data services in a professional setting.
- **Expertise in AWS Data Services**: Extensive experience with AWS services such as **Redshift**, **Athena**, **Glue**, **DynamoDB**, and others to build scalable and efficient data solutions.
- **Database & SQL Skills**: Strong expertise in **SQL** and **database design**. Experience with **NoSQL** databases is a plus.
- **Data Modeling & Integration**: Deep understanding of **data modeling**, **data integration**, and best practices for designing **ETL/ELT pipelines**.
- **Big Data Technologies**: Hands-on experience with big data tools and frameworks such as **Apache Spark**, **Kafka**, **Iceberg**, or **Hadoop** for large-scale data processing.
- **Problem-Solving Skills**: Excellent analytical and problem-solving skills, with the ability to work efficiently in a fast-paced and complex environment.
- **Experience in Banking & Financial Services**: A solid background in **banking and financial services** is essential, as it will inform the design of secure, compliant, and optimized data solutions.

**Preferred Qualifications**:

- **AWS Certifications**:

- **AWS Certified Data Analytics - Specialty**.
- **AWS Certified Solutions Architect**.
- **Familiarity with Modern Data Platforms**: Experience with modern data platforms like **Snowflake**, **Databricks**, or other similar technologies.
- **Machine Learning Experience**: Familiarity with AWS **SageMaker** for developing machine learning workflows and integrating them with data systems.

**Job Type**: Permanent

**Experience**:

- Data Architect: 8 years (preferred)
- AWS: 10 years (preferred)
- S3, Redshift, RDS, Glue, Lambda: 10 years (preferred)

License/Certification:

- Work authorization (preferred)