Databricks Architect

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Agile
Apache Kafka
Apache Spark
Big Data
Cloud Computing
Data Architecture
Data Flow
Data Governance
Data Quality
Data Science
Databricks
Google Cloud Platform
Microsoft Azure
Snow Flake Schema
Machine Learning (ML)

Job Details

Looking for 15 plus years of overall experience
Need Financial Domain Experience

Responsibilities
Design, implement, and deploy data platforms at scale in both public and private clouds
Guide clients in establishing their data strategy, including data governance, data architecture, and data quality management
Educate clients on modern technologies, architectures, and approaches for data & analytics
Drive discovery phases, understand business problems, and propose technical solutions to address them

Requirements
Extensive experience working in Solution Architecture with a background in data & analytics (10+ years)
Hands-on designing, developing & maintaining enterprise-scale data platforms
Strong understanding of big data technologies and frameworks such as Databricks, Snowflake, Apache Spark, Kafka, AWS Glue, AWS EMR, AWS Redshift, Google Cloud Platform Dataflow, Google Cloud Platform BigQuery, Azure Data Factory and Azure Synapse
Highly skilled with big data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Azure Cloud, or Google Cloud
Proven history working with client-driven large-scale implementation projects
Background in programming and scripting languages such as Java, Python, or Scala
Knowledge of Data Science and Analytics (Machine Learning, Recommendation Engines, Search Personalization, Deep Learning)
Deep understanding of Agile (Scrum) and common SDLC practices
Expert in data platform design, development, and maintenance

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