Solutions Architect

This is a fully remote position, open to applicants in Argentina, +2 more countries.

📋 Description

• Act as a trusted consultant for clients regarding their data engineering and data architecture requirements, with an emphasis on Databricks solutions.

• Balance responsibilities between billable work and pre-sales engagements.

• Design, develop, and implement data solutions that support AI, ML, and business intelligence projects.

• Collaborate with sales teams to demonstrate technical solutions to potential clients.

• Oversee multiple customer accounts, ensuring timely delivery, monitoring progress, and reporting results.

• Architect data solutions while adhering to best practices in data governance, security, and quality.

• Assess data sources and propose strategies for data inclusion.

• Lead internal teams and guide project teams through mentorship.

• Educate end users on data products and analytical environments.

• Analyze systems, address data and system issues, and implement corrections.

• Test data movement, transformation code, and data components to ensure accuracy and reliability.

⛳️ Requirements

• 7+ years of experience as a hands-on Solutions Architect and/or Senior Data Engineer.

• Recent experience in implementing data solutions with a strong focus on Databricks.

• Proficiency in data engineering technologies including Spark, Hadoop, and Kafka.

• Expertise in the Databricks platform.

• Familiarity with data science and machine learning technologies such as pandas and scikit-learn.

• Comprehensive understanding of end-to-end data analytics workflows, encompassing data modeling, ETL processes, and data integration.

• Capability to lead intricate architecture discovery and solution design sessions.

• Skill in creating implementation architecture blueprints.

• Proficient in Java, Python, and/or Scala.

• Experience working with AWS, Azure, and/or GCP.

• Ability to write, debug, and optimize SQL queries.

• Strong written and verbal communication skills, with client-facing experience.

• Aptitude for creating and delivering detailed presentations.

• Experience in producing solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views.

• Proven track record in leading teams and mentoring engineers.

• Capability to develop end-to-end technical solutions for production, ensuring performance, security, scalability, and robust data integration.

• Bachelor’s Degree in Computer Science or a related Engineering discipline.

• Required English proficiency level: Basic, Intermediate, or Advanced.

• At least 2 of the following 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 Data Factory, and IICS.

• Preferred comprehensive experience in the software development lifecycle.

• 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 growth and career progression.

• Engage with state-of-the-art technologies and industry leaders in data engineering and AI.

• A supportive collaborative culture that fosters knowledge sharing.

• Equal opportunity employment.