Data Architecture & Engineering Lead Consultant (Azure) - WFH

TASQ Staffing Solutions; Philippines; Remote; PHP 120,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation package

Flexible work location

Performance-based bonuses

Job summary

A leading staffing agency is seeking a Data Architecture & Engineering Lead Consultant (Azure) for a remote position. This role involves leading technical teams, designing data models, and implementing cloud architectures. Candidates should have experience in managing technical teams and a strong knowledge of Azure. The company offers a competitive compensation package, leadership opportunities, and a supportive working environment focused on technical excellence.

Qualifications

• Experience leading small to medium sized technical teams.
• Expertise in designing and implementing logical and physical data models.
• Ability to configure Azure data service resources.
• Experience with multiple full life-cycle data warehouse implementations.
• Understanding data architectures to support data integration processing.
• Experience with data modeling tools such as ER/Studio, ER/Win.
• Ability to quickly learn and apply new technologies.
• Data profiling and source-to-target mappings.
• Ability to provision and configure Azure data service resources.

Responsibilities

• Lead team members in technical decisions and Agile ceremonies.
• Design and implement data architectures for various data formats.
• Support data integration processing and technology adoption.

Skills

Technical team leadership

Data modeling

Cloud Architecture

API Development

Python

SQL

SQL

PySpark

APIs

Data profiling

Source-to-target mapping

ER/Studio

ER/Win

Agile ceremonies

Tools

ER/Studio

ER/Win

Azure Data Factory

Job description

Data Architecture & Engineering Lead Consultant (Azure) - WFH

Job Openings Data Architecture & Engineering Lead Consultant (Azure) - WFH

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

• 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.
• 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
• Experience creating strategies to migrate customers from on‑premise environments to Azure.