Lead Consultant, Data Architecture and Engineering

TASQ Staffing Solutions

full-time

Posted on: 9/17/2025

Origin: • 🇵🇭 Philippines

✨ AI Apply

Senior

Amazon RedshiftAWSAzureCloudPySparkPythonSQL

About the role

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.
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.
Six months of experience on our team is worth years somewhere else.

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