Senior Consultant Data Architecture & Engineering - WFH

TASQ Staffing Solutions

Philippines

Remote

PHP 781,200 - 1,004,400

Full time

14 days+

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Benefits offered by this job

Competitive salary

Performance-based bonuses

Flexible work environment

Job summary

A leading data solutions firm is seeking a Senior Consultant for Data Architecture & Engineering. This remote role focuses on technical leadership, guiding junior members, and implementing data architectures using Microsoft Azure technology. Ideal candidates will have at least 5 years of relevant experience in data modeling and data integration. Competitive compensation includes performance bonuses. Join a company committed to technical excellence and client satisfaction.

Qualifications

At least 5 years of experience in Data Architecture & Engineering.
Experience designing logical and physical data models.
Ability to provision Azure data service resources.

Responsibilities

Lead data architecture projects and technical decision-making.
Implement data architectures for various data formats.
Mentor junior team members and guide project relationships.

Skills

Leadership

Data modeling

Python & SQL Scripting

API Knowledge

Cloud Architecture

Tools

Microsoft Azure Data Platform

ER/Studio

Power BI

Job description

Senior Consultant Data Architecture & Engineering - WFH

Job Openings Senior Consultant Data Architecture & Engineering - WFH

About the Job

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

Job Highlights

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.

General Required Technical Skills

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.

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 Experience/Skills/Certifications