Data Architect

Job not on LinkedIn

🔥 0 minutes ago

🇭🇷 Croatia – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Newfire Global Partners

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Newfire Global Partners is an American IT services and advisory firm (founded in 2016 in Boston) that provides talent augmentation, software engineering, data & analytics, and AI/ML advisory to enterprise and investor clients. The company offers multidisciplinary engineering, product, and marketing teams, technical due diligence for VC/PE, data platform optimization, and an internal ML tool (Novel Heat) to improve code quality and Scrum velocity. Newfire operates across the Americas, Europe, and APAC with a 24x5 follow-the-sun delivery model and focuses on sectors such as digital healthcare, fintech, cybersecurity, and education technology.

📋 Description

• Own and define the backend data architecture and reliable data pipelines connecting ERP systems, business applications, and the data platform • Lead the data engineering workstream and drive technical decisions for data architecture and platform reliability • Map data flows, dependencies, and interactions between systems across the Customer’s technology landscape • Collaborate with engineering and product teams to ensure data is accurately synchronized across multiple systems • Build monitoring, alerting, and recovery mechanisms to improve pipeline reliability • Help rebuild the company's analytics capabilities by enabling high-quality, trustworthy data • Improve existing data infrastructure while reducing technical debt and increasing maintainability • Participate in Scrum ceremonies including sprint planning, daily stand-ups, retrospectives, and backlog refinement • Collaborate with cross-functional stakeholders to understand business requirements and translate them into scalable data solutions • Contribute to code reviews, documentation, and continuous improvement initiatives • Take ownership of the overall quality, stability, and long-term evolution of the data platform • Work closely with the Software Architect so data and engineering strategies reinforce each other and create a stable system • Own the data engineering workstream for a luxury retail client's e-commerce platform, online storefronts, ERP integrations, data warehouse, and analytics capabilities

🎯 Requirements

• 7+ years of professional experience designing, building, and maintaining production-grade data platforms and ETL pipelines • Clear data definitions, data governance processes, and related functions to create a high performing data team producing high quality data products • Expert-level SQL skills with experience optimizing complex queries and handling large datasets • Hands-on experience designing and operating reliable ETL/data synchronization pipelines, including monitoring, alerting, failure recovery, and operational excellence • Strong experience designing schemas, optimizing performance, and working with Snowflake and PostgreSQL databases • Professional experience working with Java or Python codebases • Comfortable working with limited documentation, taking ownership of ambiguous problems, and driving technical decisions independently • Excellent collaboration skills to effectively work with Engineering, Product, and other cross-functional teams • Proven ability to improve existing systems while balancing technical debt, scalability, and business priorities • Experience implementing or supporting BI and analytics platforms • Active participation in hiring processes by serving on interview panels for future roles • Employment contingent upon providing documentation verifying legal work authorization in the country of residence • Nice-to-have: Experience building or maintaining Kafka or other streaming data pipelines • Nice-to-have: Experience with Elasticsearch • Nice-to-have: Previous experience working with e-commerce, ERP, or retail data domains • Nice-to-have: Experience inheriting and modernizing legacy data platforms