Databricks Architect @ A2Mantra

Job Description

Main Duties / Responsibilities Data Architect having In-depth knowledge of Databricks capabilities, design, roadmap, limitations, etc. In-depth Knowledge of Spark architecture and Designing, troubleshooting, and monitoring on Databricks Designing and Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaborate with DW/BI leads to understanding new ETL pipeline development requirements. Identify and articulate technical and operational requirements for data pipelines and the models they populate; be able to optimize these pipelines for high-performance/resiliency workloads. Instil excellence into the processes, methodologies, standards, and technology choices embraced by the team with customer teams, and junior staff. Lead requirements discovery and delivery workshops helping customers understand their options and guiding them to the best. options. Be an advocate for the customer, and support delivery leadership in managing client expectations. Dedicate time to continuous learning to keep the team and customers appraised of the latest developments in the space. Engage with the technical community (both internal and customer) by leading workshops, seminars, and meet-ups

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: IT Operations / EDP / MISEmbedded / System Software
Functional Area: Not Applicable
Role/Responsibilies: Databricks Architect

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Keyskills:   Spark AWS Azure ETL Data Engineering Analytics Data Architect Databricks Data Warehouse