Databricks Solutions Architect

What you will be doing

1. Be a core member of our rapidly growing Databricks practice
2. Work directly with end customers and architect, scope, negotiate & lead enterprise scale Databricks migration projects
3. Provide thought leadership in the areas of data migration, master data management, data modeling, data governance, data transformations, curation and data integration
4. Develop data architecture blueprints, patterns and frameworks that will enable reuse and standardization
5. Grow the practice by influencing sales deals and assist with scoping, solutioning and estimating effort
6. Lead efforts to develop reusable frameworks, accelerators and internal product development
7. Help us hire, train and develop highly differentiated and diverse team of Big Data experts

Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.

The skills you will brin

1. g
   7+ years experience of data engineering, data platforms &analytic
2. s.10+ years of consulting experien
3. ceMinimum 6-8+ projects delivered with hands-on experience in development on databrick
4. s.Current knowledge across the Databricks product *& platform features - and/ or complete Databricks Data Engineering Professional Certification (upon joining
5. ).Deep understanding and experience working with modern cloud data architectures and engineering for one or more of the common cloud ecosystems - AWS, Azure or G
6. CPFamiliarity with cloud native technologies specifically - Python / PySpark/ JavaScript, CI/CD for production deployments , ML Ops, cloud devops, containers (kubernetes/docker, etc
7. .)Deep experience with distributed computing with Spark, with knowledge of Spark runtime interval
8. s.Strong abilities to provide a firm point of view on core cloud platform capabilities, security, and best practic
9. esKnowledge of cloud and Big Data ecosystems to advise clients on optimal solutions and best practic
10. esUnderstanding of cloud data architecture and data integration patterns (Databricks, Starburst, Azure Data Factory, AWS Glue and others), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terrafor
11. m)Understanding of enterprise data concepts such as Master Data Management and Enterprise Data Warehouse, experience with MDM standar
12. dsUnderstanding of SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Scala/Spa
13. rkAbility to identify, debug bottlenecks and significantly optimizes low running data pipelin
14. esExperience migrating applications from legacy Hadoop or Data Warehouses to the cloud running xhyhwjd Apache Spark or Databricks a huge pl

usOther nice to have skill

1. s:
   Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects is a p
2. lusExperience leading and working with large Cloud Data Platform, Cloud Data migration or Enterprise Information Management progr
3. amsYou bring an uncompromising Growth mind
4. setYou are highly motivated, creative in your approach to technical problems and know how to leverage both internal and external netwo
5. rksYou invest in keeping technical skills updated and are constantly looking for the next big challe
6. ngeYou will bring both broad and deep knowledge in Data Engineering and can architect a solution by mapping a customer business problem to an end-to-end soluti
7. on.You are resourceful, confident and composed under press

ure