Solutions Architect

🔥 45 minutes ago

🌐 Argentina, Uruguay, +1 more countries – Remote

🇦🇷 Argentina – Remote 🇺🇾 Uruguay – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 20%

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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SunnyData

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

SunnyData is a Databricks-focused data engineering and AI consulting firm that helps organizations modernize their data platforms, migrate legacy EDWs and data lakes to Databricks, and operationalize AI/ML and GenAI initiatives. The company provides Databricks-certified engineers, migration accelerators, data governance, MLOps, and domain expertise for industries such as healthcare and financial services.

📋 Description

• Serve as a trusted advisor to customers on data engineering and data architecture needs, focusing on Databricks solutions • Split time evenly between billable work and pre-sales activity • Design, build, and deploy data solutions supporting AI, ML, and business intelligence initiatives • Collaborate with sales teams to present technical solutions to prospective clients • Manage multiple customer accounts, ensure timely delivery, track progress, and report outcomes • Architect data solutions using best practices in data governance, security, and quality • Evaluate data sources and recommend data inclusion strategies • Lead internal teams and mentor project teams • Educate end users on data products and analytic environments • Analyze systems, resolve data and system defects, and apply corrections • Test data movement, transformation code, and data components for accuracy and reliability

🎯 Requirements

• 7+ years as a hands-on Solutions Architect and/or Senior Data Engineer • Recent experience implementing data solutions with a focus on Databricks • Expertise in data engineering technologies such as Spark, Hadoop, and Kafka • Expertise in the Databricks platform • Knowledge of data science and machine learning technologies such as pandas and scikit-learn • In-depth understanding of end-to-end data analytics workflows, including data modeling, ETL processes, and data integration • Ability to lead complex architecture discovery and solution design sessions • Ability to create implementation architecture blueprints • Proficiency in Java, Python, and/or Scala • Experience with AWS, Azure, and/or GCP • Ability to write, debug, and optimize SQL queries • Strong written and verbal communication skills with client-facing experience • Ability to create and deliver detailed presentations • Experience creating solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views • Experience leading teams and mentoring engineers • Ability to develop end-to-end technical solutions into production with performance, security, scalability, and robust data integration • Bachelor’s Degree in Computer Science or a related Engineering field • Required English level selection: Basic, Intermediate, or Advance • At least 2 of the listed Databricks certifications are preferred: Associate Developer for Apache Spark, Data Engineer Associate, Professional Data Engineer, Machine Learning Associate, or Professional ML Engineer • Preferred familiarity with distributed storage systems such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL systems • Preferred experience with data integration technologies including Spark, Kafka, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, and IICS • Preferred comprehensive software development lifecycle experience • Preferred expertise in automated data transformation and curation using dbt, Spark, Spark Streaming, and automated pipelines • Preferred experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, and NiFi

🏖️ Benefits

• Opportunities for professional development and career advancement • Work with cutting-edge technologies and industry leaders in data engineering and AI • Supportive collaborative culture and knowledge sharing • Equal opportunity employment