About the Role

We are looking for a Data Architect / Engineer who specializes in designing and optimizing scalable data systems. This role is ideal for someone who understands the full data lifecycle—from raw ingestion to real-time analytics—and who thrives on solving complex data problems at scale. You’ll work across both brownfield and greenfield environments, designing modern data architectures that power analytics, reporting, and operational intelligence. If you’re passionate about performance, structure, and efficiency—and you know how to get the most out of tools like Azure and Databricks—we want to hear from you.

Location: ON-SITE. Working hours are based on the Paraguay Time Zone.

About the Company:

Abstra is a fast-growing Nearshore Tech Talent services company that provides top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients’ needs, driving innovation and efficiency.

Key Responsibilities

• Design and implement scalable, high-performance data architectures for both new and existing systems.
• Architect solutions that support real-time filtering, large-scale reporting, and advanced mathematical processing across datasets with millions of records.
• Tune and optimize SQL databases and queries to enhance speed, reliability, and efficiency.
• Leverage tools like Databricks, Azure Data Factory, and Spark to build robust, cloud-native data pipelines.
• Evaluate and introduce new technologies to improve data processing, scalability, and maintainability.
• Work closely with product, analytics, and engineering teams to translate business needs into technical data solutions.
• Ensure high standards of data quality, governance, and security across all systems.
• Establish best practices for data modeling, storage, and retrieval strategies.
• Document architecture decisions and technical designs for cross-team visibility.
• Contribute to a culture of continuous improvement in our data engineering practices.

Key Qualifications

Must-Have:

• Proven experience designing and implementing data architectures that scale.
• Strong proficiency in SQL, including performance tuning and query optimization.
• Experience with cloud platforms, preferably Azure (e.g., Azure SQL, Data Lake, Synapse).
• Hands-on experience with Databricks and distributed data processing tools (e.g., Spark, Delta Lake).
• Solid understanding of data modeling, indexing strategies, and schema design.
• Ability to work effectively on multiple concurrent projects in a fast-paced environment.

Nice-to-Have:

• Experience with real-time data processing (e.g., streaming pipelines, Kafka).
• Familiarity with data governance tools and principles.
• Background in building enterprise reporting systems or BI platforms.
• Exposure to Python or Scala for data transformation.

What We Offer:

• Opportunities for professional growth and development.
• A collaborative and inclusive work environment.
• The chance to work on impactful projects with a talented team.
• Excellent compensation in USD.