Solutions Architect
SunnyData · Remote · Mexico ·
COMPENSATION
€•• – ••k
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 navigating their data engineering and architecture needs. You will split your time evenly between billable technical work and pre-sales support, designing comprehensive data solutions that leverage AI, ML, and business intelligence initiatives.
You will lead internal teams, mentor engineers, and collaborate with sales to demonstrate the value of SunnyData's offerings. The position requires deep expertise in the Databricks platform and modern data engineering techniques to deliver robust, secure, and scalable end-to-end solutions.
What you'll do
- Guide customers through data engineering and architecture needs using Databricks
- Design and deploy data solutions for AI, ML, and business intelligence
- Collaborate with sales teams to present technical solutions to prospects
- Manage multiple customer accounts and track project progress
- Architect solutions with best practices for governance, security, and quality
- Lead internal teams and mentor project members on data products
- Resolve system defects and ensure accuracy through rigorous testing
- Create detailed documentation including POCs, roadmaps, and diagrams
What you'll need
- 7+ years experience as Solutions Architect or Sr. Data Engineer
- Recent hands-on experience implementing solutions with Databricks
- Expertise in Spark, Hadoop, Kafka, pandas, and scikit-learn
- Proficiency in Java, Python, and/or Scala programming
- 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 Engineering field
Nice to have
- Familiarity with S3, ADLS, HDFS, GCS, Cassandra, or ElasticSearch
- Experience with data integration tools like Fivetran, NiFi, or Matillion
- 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 advancement
- Supportive team culture valuing collaboration and knowledge sharing
- Equal opportunity employer committed to unbiased hiring