Experience in orchestrating the E2E data loads using the Azure Data Factory V2 / Logic Apps.ġ2. Experience in Azure Database (PaaS) OR Azure SQL Data warehouse.ġ0. Experience in transferring data from RDBMS/BLOB/ADLS to Data bricks using ADF.ĩ. 1 Jobs 39 Benefits 1 Photos Q&A Filter jobs by 40 Databricks Jobs Leader, Solutions Architecture Databricks 5. Migrating the code from Traditional DW Environments to Apache Spark and Scala using Spark SQL, RDD.Ĩ. View the base salary, stock, and bonus breakdowns for Databrickss total compensation packages. The median compensation package totals 235K. Experience in creating tables, partitioning, bucketing, loading and aggregating data using Spark SQL/Scala.ħ. Solution Architect compensation at Databricks totals 305K per year for L5. Databricks solutions architects earn 19 more than the national average salary for solutions architects of 116,327. Databricks solutions architect salaries range between 103,000 to 183,000 per year. Expertise in using Spark SQL with various data sources like JSON, Parquet and Key Value Pair.Ħ. The average salary for Databricks solutions architects is 137,917 per year. It specializes on data engineering but it seems to be a lot of customer facing role, which is different from my current role. Hands on experience in Analysis, Design, Coding & Testing phases of SDLC with best practices.ĥ. Solutions Architect role at Databricks I'm a data engineer at one of the big techs, and I'm considering a role as a Specialist Solutions Architect at Databricks. Visit PayScale to research solutions architect salaries by city, experience, skill, employer and more. This estimate is based upon 3 Databricks Solution Architect salary report(s) provided by employees or estimated based upon statistical methods. The average salary for a Solutions Architect at Databricks is 153,592. Hands on experience in Scripting languages like Scala & Python.Ĥ. Solution Architect salaries at Databricks can range from 180,000 - 300,000. In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib.ģ. Hands on experience in MS Azure Data bricks and Hadoop ecosystem components like DBFS, Parquet, Delta Tables, HDFS, Map Reduce programming, Kafka, Spark & Event Hub.Ģ.
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