Data Architect, Databricks

🔥 0 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 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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Allata

WebsiteLinkedInAll Job Openings

201 - 500 employees

🚘 Automotive

🏥 Healthcare

📦 Logistics

Automotive • Healthcare • Logistics

Allata is a global consulting firm that helps businesses achieve digital excellence by crafting unique customer experiences, identifying revenue-generating opportunities, and improving operational efficiencies. They offer a wide range of services including strategic services, technology and cloud solutions, data and insights, and artificial intelligence development. Allata's approach is experience-led, strategy-aligned, tech-enabled, and data-driven. They work across multiple industries such as automotive, financial services, health and life sciences, high tech, logistics and transportation, among others, to drive modernization, personalization, innovation, and efficiency. With a team of former IT leaders and consulting professionals, Allata guides clients through complex digital landscapes to deliver value-based outcomes and help organizations integrate digital strategies seamlessly into their overall business strategies.

📋 Description

• Lead data architecture transformations and/or migration to modern cloud solutions, ensuring robustness and scalability. • Design and implement Virtual Cloud solutions, including virtual networks, network routing, and subnets. • Design efficient, scalable ETL/ELT pipelines for data processing and integration across disparate systems using APIs and data integration tools. • Design scalable, high-performance data models and databases, including Medallion Data Warehouse architecture, Data Lakehouses, dimensional modeling, Star schemas, and Snowflake schemas. • Manage one or more data projects, owning end-to-end execution and outcomes. • Lead cross-functional teams, provide technical guidance, and ensure alignment with best practices. • Engage with clients and stakeholders to understand business goals and deliver tailored technical solutions. • Ensure solutions meet standards for quality, performance, cost-effectiveness, and access policy management. • Stay current with emerging industry trends and technologies and integrate them into client solutions.

🎯 Requirements

• Advanced or expert-level experience with Databricks, including Delta Lake, Lakehouse architecture, and data engineering workloads. • Strong experience with SQL and data modeling, including Star and Snowflake schemas and dimensional modeling. • Strong experience designing and implementing ETL/ELT pipelines and data integration solutions. • Experience with Apache Spark / PySpark and large-scale data processing. • Experience with at least one major cloud platform (AWS, Azure, or GCP) and cloud-based data solutions. • Experience with data migration and modernization projects involving Databricks or other modern cloud data platforms. • Experience with data integration and transformation tools such as dbt, Fivetran, Azure Data Factory, AWS Glue, Matillion, or similar. • Familiarity with DataOps, CI/CD, infrastructure as code, and automation practices for data platforms. • Familiarity with Agile/Scrum methodologies. • Strong technical leadership and ability to provide guidance to Data Engineers and other technical teams. • Strong communication skills and ability to work effectively with clients, technical teams, and business stakeholders. • Ability to translate business requirements into scalable and practical data architecture solutions. • Experience working with distributed teams and clients.