Datavail is a proven technology consulting, implementation, and managed services partner headquartered in Boulder, Colorado. Our world-class tech-enabled delivery platform enables us to provide an extensive solutions portfolio, including database management, analytics, application development, cloud infrastructure, and enterprise applications consulting — on-premises and in the cloud. With tens of thousands of hours of experience, our goal is to enable our clients to build modern, data-driven organizations that scale. Datavail maintains strong partnerships with leading technology companies to help our clients leverage the best-fit platform to optimize outcomes. In addition, we have poured over $25 million in R&D to bring world-class systems and application monitoring tools to the market. We seek to leverage the greatest that technology and talent have to offer to simplify and operationalize the IT systems organizations use to manage their most valuable data. We select the best across the globe so we can implement complex solutions for top brands as well as small-to-midsize organizations. Our passionate team of 1200+ certified, cloud-focused consultants deliver industry-focused solutions to 500+ customers with an average lifespan of 7+ years. These committed tech professionals help our clients jump-start their projects, improve time to value & reduce the risk for the core industries that we serve. Our Technology Alliances: Datavail has leading partnerships with AWS, Microsoft, Oracle, Google, Maria DB, Mongo DB, MySQL and can provide 24×7 managed services for all leading database and applications environments including: · AWS · Azure · Oracle · MongoDB · SQL Server · Db2 · PostgreSQL · MySQL · Cassandra · Hadoop · MariaDB · Oracle E-Business Suite (EBS)/ Oracle PeopleSoft/ Oracle Hyperion technologies · Oracle Enterprise Resource Planning (ERP) and Enterprise Performance Management (EPM) technologies · Oracle Analytics & Business Intelligence tech.

Job description

Job Description

Data Architect

Data Warehouse
Lakehouse (Databricks or Microsoft Fabric)
Datalake
ADF/Synapse/Data Pipelines (ETL/ELT)
Strong SQL and PySpark knowledge
CI/CD Experience

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting. Or, equivalent experience

12+ years of experience in implementing large data and analytics platforms
6+ years of experience architecting and building data platforms on Azure
4+ years of experience architecting and building data platforms on Databricks from scratch
Experience using Azure Synapse as source or target for the data pipelines in at least 1 project
Hands on experience using Microsoft Fabric in at least 1 project
Pro in all Databricks engineering services Unity Catalog, Spark Jobs, Delta Live Table (DLT), DLT Meta, Databricks Workflow, Auto Loader. (You need to ask the candidate)
Hands on in Databricks SQL, PySpark
Understanding of data modelling, data mappings, understand the data model changes and propose the best practices and guidelines
Creating technical design based on end-to-end data architecture and frameworks for meta data driven data ingestion, transformation, logging and monitoring
Deploying data pipelines/applications to higher environments using CI-CD pipelines
Experience in writing technical user stories
Experience in Agile methodology and scrums

Required profile