About Truelogic

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.

Our Client

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.

Job Summary

The Data Architect will lead the design of scalable enterprise data platforms, translating client business requirements into technical strategies and guiding engineering teams through implementation. Combining architectural leadership, client advisory, and hands-on expertise, this role covers cloud platforms, distributed systems, APIs, data pipelines, and AI/ML integration. Responsibilities include architecture documentation, discovery workshops, platform evaluation, governance, and technical pre-sales. The ideal candidate brings strong Python and SQL skills, sound architectural judgment, and experience aligning technical, executive, and creative stakeholders around solutions.

Responsibilities

Lead solution design and architectural decisions for medium to large client engagements involving data platforms, pipelines, and AI-enabled workflows.

Assess existing enterprise architectures, identify gaps, and define future-state roadmaps.

Produce and present system diagrams, integration maps, architecture decision records, and technical standards.

Guide engineering teams through implementation, contributing hands-on during critical phases and mentoring engineers on architectural decisions.

Facilitate discovery workshops with client engineering, data, and IT stakeholders to translate business requirements into system designs.

Evaluate cloud data platforms, frameworks, and third-party integrations against client requirements and constraints.

Design distributed data pipelines, composable platforms, and API-first ecosystems incorporating AI/ML capabilities.

Connect marketing data sources, including GA4, advertising platforms, CRMs, and CDPs, to analytics and machine learning workloads.

Align architectures with enterprise security, privacy, compliance, and governance requirements while mitigating architectural risks.

Support technical pre-sales, RFP responses, SOW development, and executive solution presentations.

Qualifications and Job Requirements

7+ years of software or data engineering experience, including 2+ years focused on architecture or solution design.

Broad expertise across cloud infrastructure, APIs, data platforms, and modern technology ecosystems.

Deep expertise in cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift, with the ability to explain architectural trade-offs.

Proficiency in Python and SQL for data processing and ETL.

Experience designing scalable, maintainable distributed systems and API ecosystems at enterprise scale.

Experience integrating AI/ML capabilities into data pipelines, with exposure to generative AI applications.

Hands-on experience with AI-powered coding tools, agentic engineering, and AI-enabled workflows.