Senior Data Architect - Digital Transformation - LATAM
Quick Summary
About Truelogic At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades,
At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
The client is a digital transformation agency combining strategy, creativity, engineering, and data to help brands solve complex business challenges. It designs and builds digital products, customer experiences, platforms, and marketing solutions, integrating emerging technologies and artificial intelligence to modernize operations, strengthen customer engagement, and support measurable business growth globally.
The Data Architect will 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. This role combines architectural leadership with hands-on expertise in streaming, event-driven systems, vector databases, RAG, and cloud platforms. Working with engineering, creative, and executive stakeholders, the architect will establish governance, design integration patterns, and enable autonomous AI agents through reliable, low-latency data access, contextual retrieval, and stateful memory at scale.
Responsibilities
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Design and scale enterprise data architectures connecting cloud data lakes and warehouses to low-latency AI agent backends.
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Transform existing data assets into real-time context providers, vector retrieval engines, and stateful memory systems.
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Architect streaming ingestion, event-driven microservices, and retrieval pipelines, including RAG and vector stores.
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Define data governance, architectural standards, schemas, and integration patterns.
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Collaborate with ML engineers, creative leads, and executive stakeholders to translate business goals into scalable technical solutions.
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Drive adoption of AI-powered development tools, agentic engineering practices, and automated architectures.
Requirements
~1 min read5+ 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.
What We Offer
~1 min readA 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.
Apply now!
Location & Eligibility
About this job
- Who can apply
- Mexico
- Posted
- Today
Listing Details
- Posted
- November 3, 2026
- First seen
- November 3, 2026
- Last seen
- November 3, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 66%
- Scored at
- November 3, 2026
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