Data Architect
Aspenview Technology Partners · Buenos Aires
Build the Future with AspenView Technology Partners
At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently.
As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.
Why Join AspenView?
At AspenView, we’re more than a nearshore IT partner, we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients, and meaningful career paths for our people.
About the Role
AspenView is seeking a Senior Data Architect with a strong data engineering foundation to join a large-scale data modernization initiative for a financial services client. In this role, you will own the physical design and engineering of the analytical data platform, building dimensional models on Amazon Redshift and the transformation and orchestration layers that power enterprise reporting and Business Intelligence.
You will work within a Data Mesh operating model alongside business-focused data modelers, domain teams, and BI stakeholders, turning logical designs into performant, well-governed data products. This is a full-time position, contractor agreement, with 100% dedication to the project, based in Buenos Aires, Argentina.
What You Will Do
- Physical Dimensional Modeling: Design, implement, and evolve physical dimensional models (facts, dimensions, and aggregates) in Amazon Redshift, translating conceptual and logical designs into scalable, production-ready structures.
- Redshift Performance & Optimization: Define distribution styles, sort keys, compression, and workload management strategies, and continuously tune queries and storage to meet performance and cost targets.
- Transformation Engineering with dbt: Build and maintain modular, tested, and well-documented dbt models, establishing standards for layering, naming, testing, and version control across the transformation codebase.
- Pipeline Orchestration with Airflow: Design and operate Airflow DAGs that orchestrate ingestion and transformation workflows, including dependency management, scheduling, retries, monitoring, and alerting.
- Data Mesh Enablement: Help domain teams deliver discoverable, reliable, and interoperable data products, applying shared modeling conventions, data contracts, quality checks, and governance standards.
- BI Enablement & Collaboration: Write and review advanced SQL, support BI and analytics teams with performant semantic structures, and partner with architects and business modelers to align technical delivery with business requirements.
What You Bring
Education
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
Experience
- Proven senior-level experience as a Data Architect or Data Engineer delivering enterprise analytical platforms.
- Extensive hands-on experience with Data Mesh, Data Warehousing, and Business Intelligence solutions.
- Demonstrated experience with physical dimensional modeling on Amazon Redshift.
- Experience in financial services or banking environments is a strong plus.
Technical Expertise
- Amazon Redshift at an expert level (L400), including design, tuning, and operation of large-scale warehouses.
- dbt at an expert level (L400), including model design, testing, documentation, and deployment practices.
- Apache Airflow at an advanced level (L300+), including DAG design, orchestration patterns, and operational monitoring.
- SQL at an expert level (L400), including complex analytical queries and performance optimization.
Nice to Have
- Teradata Financial Services Industry Data Model (FSI-LDM) or Oracle Financial Services (FSI) Industry Data Models.
- BIAN (Banking Industry Architecture Network) certification.
- Experience with Control-M, Delta Live Tables (DLT), and Amazon SageMaker within a Data Mesh architecture.
Additional Requirements:
- 100% dedication to the project.
- Hybrid rol.
- Based in Buenos Aires, Argentina.
Visa Sponsorship
AspenView does not sponsor employment visas for this role. Applicants must be permanently authorized to work in their country of residence and must not require visa sponsorship now or in the future.
Equal Opportunity Employer
AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.
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