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

TASQ Staffing Solutions; Makati; Remote; PHP 2,232,000 - 3,906,000; Full time

Benefits offered by this job

Competitive compensation package

Quarterly and annual performance-based bonuses

Flexible work location

Job summary

A leading consultancy firm is seeking a Lead Consultant for Data Architecture & Engineering. The role emphasizes leadership, technical decision-making, and mentorship within a strong Azure environment. Candidates should possess extensive experience in cloud solutions, API creation, and managing technical teams. This position offers competitive compensation and a supportive work culture.

Qualifications

• At least 4 years of relevant leadership experience.
• Expertise in designing and implementing data models for cloud and hybrid environments.
• Experience leading small to medium-sized technical teams.
• Cloud data architecture experience focused on building data pipelines
• API knowledge with preference for API creation capabilities

Responsibilities

• Guide and mentor junior team members.
• Manage technical decision-making and team allocation.
• Implement data architectures for various data formats.

Skills

Leadership experience

Python & SQL Scripting

General Cloud Architecture

API Knowledge

Microsoft Fabric

Azure services

AWS services

Tools

Microsoft Fabric

Azure Cosmos DB

Data Flows

ExpressRoute

Azure Active Directory

Power BI

AWS Glue

Azure Data Factory

AWS Athena

Azure Databricks

AWS Redshift

Azure Synapse

AWS ECS

Azure AKS

Azure Data Lake Store

Azure Storage

Job description

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

Detailed Required Skills:

• At least 4 years of relevant leadership experience
• 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:

• Microsoft Fabric
• Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
• Experience creating strategies to migrate customers from on-premise environments to Azure
• Power BI and semantic modeling
• AWS Glue & Azure Data Factory
• AWS $3 & Azure Blob
• AWS Athena & Azure Databricks
• AWS Redshift & Azure Synapse
• AWS ECS & Azure AKS

Job Highlights:

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 Azureyou'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:

• 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
• 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