Design and implement scalable cloud data architectures using GCP and BigQuery.
Collaborate with engineering teams and business stakeholders to translate requirements into data solutions.
Establish data governance, security, and best practices across platforms.
Nortal is a digital transformation company that delivers complex solutions for global enterprises and public sector organizations. With over 25 years of experience, they have a close-knit LATAM remote team and value autonomy, open communication, and diversity.
Build and maintain data pipelines and infrastructure for digital analytics environments, ensuring robust ingestion, transformation, and availability of data.
Work closely with Martech experts to integrate data from sources like Google Analytics and Customer Data Platforms.
Manage platform data and technology, ensuring integrity, consistency, and alignment with business needs.
CI&T helps large enterprises harness AI for real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across over 25 countries, the company fosters a collaborative and innovation-driven culture focused on digital transformation.
Lead end-to-end architecture of scalable Data Lakehouse solutions on GCP using BigQuery, GCS, and Dataplex.
Collaborate with customers to translate business goals into robust architectural blueprints and actionable plans.
Design and implement data pipelines for real-time and batch ingestion with modern orchestration frameworks.
Egen is a data-first technology company that helps clients drive action and impact through data and insights using advanced platforms like Google Cloud and Salesforce. It is a fast-growing, entrepreneurial company with a culture dedicated to learning, innovation, and solving tough problems.
Develop comprehensive data strategies aligned with organizational goals.
Establish data governance frameworks for quality, privacy, compliance, and security.
Support clients in creating tailored data solutions such as Data Platforms and AI models.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, CI&T fosters a collaborative culture focused on innovation and real impact.
Design and develop scalable data architectures and cloud-based data solutions using GCP.
Build and maintain data pipelines using BigQuery, Dataflow, Dataform, and other GCP data services.
Collaborate with technical and business stakeholders to translate requirements into reliable data products.
Huge is an independent, human-first AI-native design and technology company. They bring together more than 1,000 design and technology experts worldwide to partner with ambitious brands.
Design and manage end-to-end data infrastructure including databases, Data Warehouses, Data Lakes, and Medallion Architecture.
Lead technical migration strategy from legacy systems to cloud platforms, ensuring smooth transition.
Translate business requirements into technical specifications, establish data models and governance policies.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.
Define and communicate the long-term data architecture vision, aligning with business strategy.
Lead migration of data pipelines to Microsoft Fabric, ensuring reliable data for business consumption.
Mentor team members and explain complex data concepts to diverse stakeholders.
CI&T helps large enterprises transform the potential of AI into real business impact. With 30 years of experience, they are 8,000 employees across more than 25 countries, collaborating to build solutions with real impact.
Design and develop automated ETL/ELT pipelines to ingest data into Google Cloud Platform.
Implement Medallion Architecture patterns and maintain governed views in BigQuery.
Balance new solution development with production incident resolution and support.
Our partner is a company seeking a senior data professional to design, build, and operate scalable data solutions in a large-scale corporate environment. They collaborate across multiple business areas and combine development with operational support.
Lead the GCP data engineering practice, defining technical vision for data modeling, ingestion, lakehouse architectures, and cloud cost optimization.
Oversee end-to-end design and deployment of enterprise data platforms using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
Drive GenAI enablement by building production data pipelines, vector search infrastructure, and RAG frameworks using Vertex AI and BigQuery ML.
TTEC Digital coaches clients to ensure employees feel valued and fully supported, fostering an employee-first approach to exceptional customer experience. With 1,800+ employees and a sister company of 60,000+, they are Great Place To Work certified and committed to diversity and inclusion.
Design, architect, and develop robust GCP data pipelines for healthcare data solutions.
Maintain a holistic view of information assets through documentation and create technical design specs.
Collaborate with cross-functional teams to drive ML and data engineering initiatives that improve patient outcomes.
Egen is a data-first consulting company leveraging Google Cloud and Salesforce to help clients drive impact through data. It is a fast-growing, entrepreneurial firm with a culture focused on learning, innovation, and solving tough problems.
Own the technical architecture of data systems and pipelines that ingest and transform massive hospitality data volumes.
Map out current architecture, design future state, and set standards for data engineering at scale.
Embed AI strategy into integrations architecture and collaborate across teams to drive technical excellence.
Lighthouse is a hospitality AI platform that revolutionizes commercial strategy by transforming the world's largest hotel data network into real-time intelligence. With 850+ teammates across 35 countries and $370M in Series C funding, we foster a collaborative, innovative culture focused on customer success.
Lead the development of the data platform supporting clinical operations, payer reporting, and analytics.
Build and orchestrate ingestion pipelines using Mage, Python, and GCP infrastructure as code.
Ensure security and compliance with PHI, HIPAA, and SOC 2 while collaborating cross-functionally.
Protera Health is a musculoskeletal (MSK) specialty care company that partners with health plans, health systems, and employers to deliver coordinated, measurable MSK care. It is a growing multidisciplinary clinical organization with a technology platform, offering a fully remote, mission-driven culture.
Design and define complex enterprise architectures across cloud and on-premises environments.
Provide architectural leadership across data, integration, and application initiatives.
Ensure compliance with regulations including GDPR and the EU AI Act.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.
Lead the development and operation of a scalable data governance and data security program across a modern data environment.
Establish practical standards for data classification, ownership, access, quality, and protection, working closely with Data Engineering, Security, Privacy, and Legal.
Shape responsible adoption of emerging analytics, AI, and agentic technologies while ensuring compliance with GDPR, CCPA, and other regulatory frameworks.
The company operates in the fintech or regulated financial services space, managing sensitive cross-border data across multiple regions. It is a growing, remote-first organization focused on security and compliance, with a culture that values data trust and operational maturity.
Own end-to-end delivery of data assets, ensuring secure, reliable, and timely availability of prioritized data for business use cases.
Lead data design, ingestion, and build processes while coordinating with stakeholders and ensuring compliance with governance standards.
Manage a technical build squad, document data transformations, and own data quality through monitoring and issue resolution.
CI&T helps large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience, they are 8,000 employees across 25 countries, collaborating to build solutions with real impact.
Define current-state, transition-state, and target-state data architectures for a major modernization initiative.
Design data models, integration patterns, and data flows using Microsoft Fabric and cloud-based capabilities.
Collaborate with stakeholders to establish data architecture standards, roadmaps, and best practices.
Our partner is a technology-driven organization undergoing a major data platform modernization. They are seeking an experienced data architect to lead their cloud-based transformation initiative.