Solutions Architect
Core
Design, build, and deploy comprehensive data solutions for AI, ML, and business intelligence initiatives while serving as a trusted advisor to customers.
Role type
Senior Solutions Architect (Data Engineering & Pre-Sales)
Builds
Scalable data engineering pipelines, data consumption layers, and advanced ML/AI applications on the Databricks platform.
Domain
Data Engineering, Cloud Data Platforms, Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Data Engineering, Databricks platform, Spark, Hadoop, Kafka, Data Modeling, ETL processes, Data Integration, Java, Python, Scala, SQL, Cloud Platforms (AWS/Azure/GCP), System Analysis, Solution Architecture, Team Leadership, Technical Documentation
Preferred skills
Distributed Storage systems, Automated Pipelines, Workflow Management and Orchestration, Software Development Lifecycle
Technologies
Databricks, Spark, Hadoop, Kafka, AWS, Azure, GCP, S3, ADLS, HDFS, GCS, Kudu, ElasticSearch, Solr, Cassandra, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica, dbt, Airflow, Luigi, Apache Spark
Responsibilities
Serve as a trusted advisor to customers guiding data engineering and architecture needs; Design, build, and deploy comprehensive data solutions; Collaborate with sales teams to present technical solutions; Manage multiple customer accounts ensuring timely delivery; Architect data solutions incorporating best practices in governance and security; Evaluate data sources and recommend inclusion strategies; Lead internal teams and mentor project teams; Perform system analysis and resolve data/system defects; Test data movement and transformation code for accuracy.
Seniority
Senior, hands-on IC with pre-sales responsibilities
