About the client
Our client is a US-based, fully remote team specializing in WordPress and Shopify website development, e-commerce, applications, integrations, hosting, and ongoing digital services.
They partner with businesses, agencies, and organizations to create high-quality digital experiences and provide long-term support.
Their culture emphasizes treating people well, maintaining strong communication, continuously improving processes, and delivering thoughtful, high-quality work.
As the company continues to grow, it is building stronger systems and leadership structures to support excellent delivery at scale.
About the role
Our client is seeking a detail-oriented Delivery Coordinator to support website development projects, improve delivery processes, and ensure seamless collaboration between internal teams and external partners.
This role is idóneo for someone with strong organizational skills, excellent communication abilities, and a proactive mindset toward improving execution.
The Delivery Coordinator will report directly to the Head of Delivery and will primarily support delivery leadership by maintaining visibility, follow-through, communication, and process consistency.
This role is not responsible for independently managing the entire delivery function.
Instead, it helps ensure that projects, tasks, and commitments remain organized and moving forward.
What you'll be doing
Track project timelines, milestones, task completion, and delivery commitments to keep projects on schedule
Maintain and update project boards using Asana and Kanban methodologies
Coordinate daily task assignments, follow-ups, and deliverables across internal teams and external partners
Keep project statuses, owners, priorities, and next steps accurate and up to date
Identify blockers, missing information, technical dependencies, and potential delivery risks earlyCoordinate communication between clients, leadership, developers, designers, QA, and other stakeholders
Trecord of structuring data to optimize Looker Studio performance
Proficiency with Git and collaborative development workflows, and proven ability to manage multi-client data environments with strict data segregation
An analytical, solution-driven mindset with a growth orientation, and strong communication skills that turn complex data workflows into clear narratives for non-technical audiences — education marketing experience (traditional or online) is especially valued
Bonus Points
Experience integrating AI-driven insights or machine learning models into marketing data pipelines to sharpen predictive analytics and data utility
Familiarity using AI or LLM tools to optimize performance forecasting, automated audience segmentation, or marketing workflows
Experience connecting,



managing, and maintaining APIs for generative AI platforms within a marketing data architecture
Experience using AI/ML-driven anomaly detection to monitor pipelines and proactively flag data quality issues
What's Offered
Remote role with the flexibility that comes with a distributed, async-friendly team
Competitive compensation based on experience and location
A pivotal, high-visibility seat on a scaling Data & Analytics team, with real ownership over the agency's reporting infrastructure
The chance to build the data backbone for an agency whose partners are education and nonprofit organizations working to build a better world
A culture built around finding a better way, playing as a team of A-players, and treating results as the engine rather than the goal
Direct impact: the pipelines and models you build directly shape how partners see (and trust) their own performance data
Interview Process
Application Review (resume + a few questions)
Screening Call with Atomic HR
Hiring Team Interview (walkthrough of a pipeline or data model you've built)
Technical Assessment (a real-world data engineering case study)
Final Interview with company leadership
Location: LATAM
Work Model: 100% Remote
Project: Identity Security / Cybersecurity Platform
Seniority: Senior
Engagement: Full-time
Get to Know Darwoft
At Darwoft, we build custom software solutions and partner with international companies to create high-impact digital products.
We are a Latin American technology company with a people-first culture, strong professional standards, and a long-term partnership mindset.
We work with distributed teams, complex technical challenges, and clients whose technology has a direct impact on their businesses and users.
About the Project
We are partnering with an innovative cybersecurity company building a next-generation Identity Security and Identity Observability platform .
The product helps enterprise security teams understand how human users, service accounts, workloads, applications, and AI-driven identities access systems across cloud, SaaS, network, endpoint, and on-premise environments .
At the core of the platform is a highly data-intensive architecture that collects and analyzes large volumes of events, logs, network telemetry, identity activity, and security signals .




The platform integrates with complex enterprise ecosystems including identity providers, cloud platforms, SASE solutions, SIEMs, endpoint security tools, network infrastructure, and security services.
About the Role
We're looking for a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization.
This is not a traditional backend or internal data engineering position.
You'll work directly with customers to understand their infrastructure, data sources, security architecture, network topology, APIs, and workflows, then design and implement scalable mechanisms to ingest that information into the platform.
You'll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting .
A major part of your mission will be building and evolving connectors and ingestion pipelines capable of integrating data from complex enterprise environments while maintaining reliability, scalability, security, and fast time-to-production.
What You'll Be Doing
Design, develop, and maintain production-grade data collectors, connectors, and ingestion services .
Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems .
Work directly with enterprise customers to understand their environments, data flows, APIs, security requirements, and integration constraints.
Participate in technical onboarding processes, from initial discovery and architecture design through production deployment.
Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources .
Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering practices .
Develop backend services primarily using Python and/or Go .
Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
Build and operate containerized services using Docker and Kubernetes .
Deploy and integrate solutions across AWS, Azure, and GCP environments .
Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.
Optimize ingestion performance, reliability, scalability, and operational efficiency.
Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation
#J-*****-Ljbffr

📌 Delivery Coordinator - 1526 - Lima, Peru (Mendoza)
🏢 Sophilabs
📍 Mendoza