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Senior Data Architect – Digital Transformation
Truelogic Software. Define and scale an AI-first data architecture that transforms cloud data lakes and warehouses into active backends for real-time insights, predictive analytics, and generative AI applications.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and scaling AI-first data architectures, integrating cloud data lakes and warehouses for real-time insights and predictive analytics. Proficient in transforming data assets into interactive applications and driving the adoption of AI-powered development tools.
Highest-signal resume keywords
Data ArchitectureReal-Time AI BackendsAWSPythonEvent-Driven Microservices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureReal-Time AI BackendsPythonSQLSystem DesignAPI DesignEvent-Driven MicroservicesRAGVector DatabasesData Governance
Soft Skills
CommunicationCollaboration
Tools & Technologies
AWSGCPAzureDatabricksSnowflakeBigQueryPineconeQdrantMilvusPgvector
Industry Keywords
Cloud Data LakesPredictive AnalyticsGenerative AILakehouse ArchitecturesArchitectural Standards
Tech Stack
Tools & technologiesAWSAzureBigQueryCloudGoogle Cloud PlatformGraphQLGRPCMicroservicesPythonSnowflakeSQL
About the role
Key responsibilities & impact- Define and scale an AI-first data architecture that transforms cloud data lakes and warehouses into active backends for real-time insights, predictive analytics, and generative AI applications.
- Design and scale enterprise data architectures connecting cloud data lakes and warehouses to low-latency AI agent backends.
- Transform existing data assets into real-time context providers, vector retrieval engines, and stateful memory systems.
- Architect streaming ingestion, event-driven microservices, and retrieval pipelines, including RAG and vector stores.
- Define data governance, architectural standards, schemas, and integration patterns.
- Collaborate with ML engineers, creative leads, and executive stakeholders to translate business goals into scalable technical solutions.
- Drive adoption of AI-powered development tools, agentic engineering practices, and automated architectures.
Requirements
What you’ll need- 5+ years in Data Architecture or Senior Data Engineering, designing complex, scalable platforms from scratch.
- Hands-on experience activating existing data stores for live, interactive applications, beyond migrations and data movement.
- Expertise in real-time, event-driven AI backends, RAG, and vector databases such as Pinecone, Qdrant, Milvus, or pgvector.
- Extensive experience with AWS, GCP, or Azure and modern lakehouse architectures using platforms such as Databricks, Snowflake, or BigQuery.
- Strong proficiency in Python, SQL, system design, and API design using gRPC, GraphQL, or REST for ML integration.
- Ability to communicate architectural concepts clearly to technical teams and creative, nontechnical stakeholders.
- Must be currently based in Latin America, as indicated by the required application question.
Benefits
Comp & perks- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
- Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
- Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
- Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
- A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
- Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
- Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.