Senior Consultant Data Architecture & Engineering - WFH

Job Openings Senior Consultant Data Architecture & Engineering - WFH

TASQ is looking for a Lead Consultant, Data Architecture & Engineering (GDC), to work on a remote setup from 5pm to 2am.

Leadership Opportunities: This role will help you extend and expand your knowledge and experience in technical leadership positions. This includes 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 won't find this at other places.
Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance‑based cash bonuses, and other remuneration. Great working environment and company culture with flexible work location.

At least 5 years of experience in the same field.
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; and experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, and 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.

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

See also