Allata is a general consulting and technology services firm founded in ****, with 350+ employees across the US, India, and Argentina.
We partner with some of the world's largest enterprises to move AI from idea to production — building intelligent agents, data foundations, and governance frameworks that scale.
Our teams work at the intersection of strategy, engineering, data, and design, helping clients modernize their technology, unlock data value, and create meaningful digital experiences.
At Allata, you'll join an agile, cross-functional team that works closely alongside clients — making a real impact and building lasting partnerships.
As a Data Architect, you will be at the forefront of designing and architecting comprehensive data solutions across multiple platforms aligned with client needs and objectives.
Role & Responsibilities:
Lead data architecture transformations and/or migration to modern cloud solutions, ensuring robustness and scalability of the soltuion.
Design and implement Virtual Cloud solutions including virtual network and management of network routings and subnets.
Design efficient, scalable ETL/ELT pipelines that streamline data processing and integration.
Experience with integrating data across disparate systems using APIs and data integration tools
Design scalable, high-performance data models and databases, including Medallion Data Warehouse architecture, Data Lakehouses, dimensión modelling (Star and/or Snowflake schemas), and other relevant design patterns.
Manage one or more Data projects, owning the end-to-end execution and owning responsibilty of the outcomes




Lead cross-functional teams to deliver on client goals, providing technical guidance and ensuring alignment with best practices.
Engage with clients and stakeholders to understand business goals, provide technical expertise, and deliver tailored solutions.
Ensure all designed solutions meet the highest standards of quality, performance cost-effectiveness, and access policy management.
Stay updated with emerging industry trends and technologies, integrating them into solutions to provide added value to clients.
Hard Skills - Must have:
Advanced or expert-level experience with Databricks, including Delta Lake, Lakehouse architecture, and data engineering workloads
Strong experience with SQL and data modeling, including Star and Snowflake schemas and dimensional modeling
Strong experience designing and implementing ETL/ELT pipelines and data integration solutions
Experience with Apache Spark / PySpark and large-scale data processing
Experience with at least one major cloud platform (AWS, Azure, or GCP) and cloud-based data solutions
Experience with data migration and modernization projects involving Databricks or other modern cloud data platforms
Experience with data integration and transformation tools such as dbt, Fivetran, Azure Data Factory, AWS Glue, Matillion,



or similar
Familiarity with DataOps, CI/CD, infrastructure as code, and automation practices for data platforms
Familiarity with Agile/Scrum methodologies
Soft Skills / Business Specific Skills:
Strong technical leadership and ability to provide guidance to Data Engineers and other technical teams
Strong communication skills and ability to work effectively with clients, technical teams, and business stakeholders
Ability to translate business requirements into scalable and practical data architecture solutions
Experience working with distributed teams and clients
Other Preferred Skills (Bonus points):
Experience with Databricks Unity Catalog, Workflows, and governance capabilities
Experience with Databricks SQL and performance optimization
Experience with data governance, security, and access management
Experience with Power BI, Tableau, or other BI platforms
Experience with machine learning or ML workloads on Databricks
Experience with Terraform or other Infrastructure as Code tools
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
These tools assist our recruitment team but do not replace human judgment.
Final hiring decisions are ultimately made by humans.
If you would like more information about how your data is processed, please contact us.
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📌 Data Architect (Databricks) (Buenos Aires)
🏢 Allata
📍 Buenos Aires