Resident Data Architect

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 15%

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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Matrix Global

WebsiteLinkedInAll Job Openings

51 - 200 employees

📦 Logistics

💼 Consulting

🍽️ Food & Beverage

Logistics • Consulting • Food & Beverage

Matrix Global is a company that revolutionizes the way the oil and gas industry transacts by providing a sophisticated auction platform for storage and pipeline capacities. Their proprietary MAP platform enhances transparency and competition within the midstream sector, allowing businesses to optimize storage transactions and manage risks effectively through both short-term and long-term contracts. By collaborating with industry leaders, Matrix Global offers strategic opportunities for storage providers and energy companies, fostering a dynamic marketplace for oil and gas transactions.

📋 Description

• Act as the on-site or dedicated Databricks Resident Architect supporting strategic customer initiatives • Lead architecture, design, and delivery of enterprise-scale data platforms leveraging Databricks • Partner with business stakeholders, technical teams, and leadership to define data strategies and roadmaps • Design and implement scalable data lakehouse architectures • Drive data modernization, migration, and cloud transformation initiatives • Establish best practices for data engineering, governance, security, and performance optimization • Guide development teams on data modeling, ETL/ELT, and modern analytics architectures • Ensure successful project delivery, risk management, and stakeholder communication • Provide technical leadership and mentorship to customer and partner teams • Support adoption of AI/ML, real-time analytics, and advanced data capabilities within Databricks • Collaborate with executive leadership to align technical solutions with business objectives

🎯 Requirements

• 7+ years of experience in data engineering, analytics, and modern data platforms • 10+ years in consulting and client-facing engagements • Databricks Certified Data Engineer Professional certification (or equivalent advanced certification) required • Proven track record delivering 6–8+ Databricks implementations with hands-on development experience • Strong expertise in at least one major cloud platform (AWS, Azure, or GCP) • Working knowledge of multiple cloud ecosystems • Deep experience with Apache Spark, including distributed computing concepts and Spark runtime internals • Experience implementing and supporting CI/CD pipelines for production deployments • Solid understanding of MLOps principles, tools, and best practices • Current knowledge of the Databricks platform, products, and evolving feature set • Demonstrated ability to optimize performance, scalability, and reliability across data workloads and architectures • Strong communication and stakeholder management skills • Ability to translate business requirements into scalable technical solutions • Experience with AI/ML implementation and MLOps preferred • Knowledge of Unity Catalog, Data Governance, and Data Quality frameworks preferred • Experience with Power BI, Tableau, or other data visualization platforms preferred • Previous experience in professional services, consulting, or managed service delivery organizations preferred

🏖️ Benefits

• Competitive compensation and benefits • Rewarding career opportunities • Diverse work environment focused on sharing and learning