Solutions Architect

SunnyData · Remote · Argentina ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior Solutions Architect
  • Databricks focus
  • 50% pre-sales / 50% delivery
  • AWS, Azure, or GCP
  • Python, Java, or Scala

As a Solutions Architect at SunnyData, you will act as a trusted advisor for customers, guiding their data engineering and architecture strategies. You will split your time evenly between billable technical work and pre-sales support, designing comprehensive data solutions that leverage AI and machine learning.

You will collaborate with sales teams to demonstrate technical value to prospective clients while managing multiple customer accounts. The role involves leading internal teams, mentoring engineers, and ensuring the timely delivery of robust, secure, and scalable data products.

What you'll do

  • Serve as a trusted advisor for customer data architecture needs
  • Split time evenly between billable work and pre-sales support
  • Design and deploy data solutions for AI, ML, and BI initiatives
  • Collaborate with sales to present technical solutions to prospects
  • Manage multiple accounts and track project progress
  • Lead internal teams and mentor project engineers
  • Perform system analysis and resolve data defects
  • Test data movement and transformation code for accuracy

What you'll need

  • 7+ years as a Solutions Architect or Sr. Data Engineer
  • Recent experience implementing solutions with Databricks
  • Expertise in Spark, Hadoop, Kafka, and Databricks platform
  • Proficiency in Java, Python, and/or Scala
  • Experience with AWS, Azure, and/or GCP cloud platforms
  • Strong ability to write, debug, and optimize SQL queries
  • Proven client-facing communication and presentation skills
  • Bachelor’s Degree in Computer Science or related field

Nice to have

  • Familiarity with S3, ADLS, HDFS, GCS, or NoSQL systems
  • Experience with data integration tools like Fivetran or NiFi
  • Expertise in automated pipelines using dbt or Spark streaming
  • Knowledge of workflow orchestration via Airflow or Luigi
  • Hold at least two relevant professional certifications

Stack

  • Databricks
  • Spark
  • Hadoop
  • Kafka
  • Python
  • Java
  • Scala
  • SQL
  • AWS
  • Azure
  • GCP
  • pandas
  • scikit-learn

What you get

  • Work with cutting-edge data engineering and AI technologies
  • Opportunities for professional development and career growth
  • Join a supportive team valuing collaboration and knowledge sharing
  • Make a tangible impact on business strategic decision-making