Solutions Architect

The role

You will serve as a trusted advisor to customers by designing, building, and deploying data solutions. You will split your time evenly between billable work and pre-sales activity.

What you will do

• Serve as a trusted advisor to customers regarding data engineering and architecture needs.
• Design, build, and deploy data solutions for AI, ML, and business intelligence.
• Collaborate with sales teams to present technical solutions to prospective clients.
• Manage multiple customer accounts and track progress.
• Architect data solutions incorporating data governance, security, and quality.
• Evaluate data sources and recommend inclusion strategies.
• Lead internal teams and provide mentorship to project teams.
• Perform system analysis and resolve data and system defects.
• Test data movement, transformation code, and data components.

Required qualifications

• 7+ years as a hands-on Solutions Architect and/or Sr. Data Engineer.
• Recent experience implementing data solutions with a focus on Databricks.
• Expertise in Data Engineering technologies such as Spark, Hadoop, Kafka.
• Expertise in Databricks platform.
• Expertise in data science/machine learning technologies such as pandas, scikit-learn.
• In-depth understanding of the end to end data analytics workflow.
• Ability to lead complex architecture requirements, solution design sessions and build 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 experience in client-facing roles.
• Ability to create and deliver detailed presentations to clients and stakeholders.

Nice to have

• Familiarity with cloud and distributed data storage systems such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.
• Experience with data integration technologies like Spark, Kafka, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, and Informatica Intelligent Cloud Services (IICS
• Comprehensive experience with the complete software development lifecycle.
• Expertise in automated data transformation and curation using tools like dbt, Spark, Spark streaming, and automated pipelines.
• Experience with workflow management or orchestration tools like Airflow, AWS Managed Airflow, Luigi, and NiFi.
• At least 2 of the following certifications: Associate Developer for Apache Spark; Data Engineer Associate; Professional Data Engineer; Machine Learning Associate; Professional ML Engineer

Benefits

• Innovative Environment
• Customer Impact
• Career Growth
• Collaborative Culture

About the company

SunnyData is a Databricks technology partner that empowers customers with scalable architectures, data engineering pipelines, and AI applications.