Lead Consultant Data Architecture

2 weeks ago

Lipa, Philippines TASQ Staffing Solutions Full time

About the job Lead Consultant Data Architecture & Engineering (GDC) | REMOTE

Work set-up: remote, 5 p.m. to 1 a.m.

Job Highlights
  • Competitive compensation package , salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration.
  • Leadership Opportunities - This role will help you extend and expand your knowledge and experience in technical leadership positions. These include technical decision- making; guidance and mentorship of more junior team members; and developing relationships with project, client, and company leadership all while remaining hands-on in your areas of expertise.
  • Our technology focus is on Azure - you\'ll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else.
  • Microsoft Partnerships - Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities, and access to the teams that have built the platform. You wont find this at other places.
  • Great working environment and company culture with flexible work location .
Required Technical Skills

Required Technical Skills: at least four years of data architecture leadership experience is needed

  • Experience leading small to medium sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, representing the team in Agile ceremonies and client meetings).
  • Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
  • Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data
  • Experience with multiple full life-cycle data warehouse implementations
  • Understanding of data architectures required to support data integration processing
  • Experience with data modeling technologies such as ER/Studio, ER/Win or similar
  • Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs
  • Demonstrated ability to quickly learn, adopt and apply new technologies
  • Data profiling and creation of source to target mappings
  • Ability to provision and configure Azure data service resources
Detailed Required Skills
  • Python & SQL Scripting
  • SQL, PySpark
  • General Cloud Architecture competency skillset - Capable of taking requirements and building out data pipelines
  • API Knowledge is required, but preference given to candidates who can create APIs
Preferred Skills/Certifications/Experience
  • Microsoft Fabric
  • Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
  • Experience creating strategies to migrate customers from on-premise environments to Azure
  • Power BI and semantic modeling
  • AWS Glue & Azure Data Factory
  • AWS S3 & Azure Blob
  • AWS Athena & Azure Databricks
  • AWS Redshift & Azure Synapse
  • AWS ECS & Azure AKS
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