Solutions Architect

• 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

• 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

• 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