Lead Consultant Data Architecture & Engineering (GDC) - WFH, Midshift

TASQ Staffing Solutions; Makati; Remote; PHP 1,674,000 - 2,567,000; Full time

Benefits offered by this job

Competitive compensation

Leadership opportunities

Azure-focused projects

Microsoft partnerships

Flexible work location

Job summary

TASQ Staffing Solutions is seeking a Lead Consultant Data Architecture & Engineering (GDC) for remote work, based in the Philippines. The role emphasizes Azure data platforms, leadership of technical teams, and hands-on data engineering in a global client environment.

You will design scalable data models for cloud and hybrid warehouses, build robust data pipelines, and mentor junior engineers while collaborating with stakeholders across projects, all while adapting to a 5 p.m. to 2 a.m. shift.

Qualifications

• Lead small- to medium-sized technical teams and manage work allocation, escalation, and agile ceremonies.
• Design and implement logical and physical data models for cloud and hybrid data warehouses.
• Architect data solutions for structured, semi-structured, and unstructured data.
• Experience with multiple full lifecycle data warehouse implementations.
• Ability to provision Azure data service resources and integrate data pipelines.

Responsibilities

• Lead team members and coordinate with clients during Agile ceremonies and meetings.
• Develop source-to-target mappings and perform data profiling.
• Create scalable data architectures to support data integration and analytics.
• Collaborate on API design and data access strategies.

Skills

Leadership experience

Data modeling

Azure

Python & SQL

API development

PySpark

Tools

ER/Studio

ER/Win

Microsoft Fabric

Job description

Lead Consultant Data Architecture & Engineering (GDC) - WFH, Midshift

Job Openings Lead Consultant Data Architecture & Engineering (GDC) - WFH, Midshift

About the job Lead Consultant Data Architecture & Engineering (GDC) - WFH, Midshift

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

Work setup: remote, 5 p.m. to 2 a.m.

Job Highlights:

• Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonuses, 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'llhave 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—Ourgreat 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.


• Great working environment and company culture with a flexiblework location.

Required Technical Skills:

• At least 4 years of experience leading small- to medium-sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, and 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