Lead Consultant in Data Architecture & Engineering (GDC) - WFH/Remote

TASQ Staffing Solutions; Philippines; Remote; PHP 80,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Flexible work environment

Quarterly and yearly performance bonuses

Job summary

A leading staffing solutions firm is seeking a Lead Consultant in Data Architecture & Engineering. This remote role focuses on enhancing technical leadership within Azure-based projects. Candidates should have experience in data modeling, leading teams, and proficiency in Python and SQL. The firm offers competitive compensation, performance bonuses, and a flexible work environment.

Qualifications

• Proven experience leading technical teams.
• Expertise in designing data models for cloud environments.
• Extensive experience managing full data warehouse project lifecycles.
• Ability to configure Azure data services.

Responsibilities

• Mentor junior team members and make strategic technical decisions.
• Deepen expertise within the Azure platform.
• Develop and integrate APIs.

Skills

Leadership experience

Data modeling

Data architecture principles

Scripting in Python

Scripting in SQL

Cloud architecture

APIs knowledge

Tools

ER/Studio

Power BI

Azure Data Factory

AWS Glue

Job description

Lead Consultant in Data Architecture & Engineering (GDC) - WFH/Remote

Job Openings Lead Consultant in Data Architecture & Engineering (GDC) - WFH/Remote

About the job Lead Consultant in Data Architecture & Engineering (GDC) - WFH/Remote

TASQ is looking for a Lead Consultant in Data Architecture & Engineering (GDC) to work remotely from 5 PM to 2 AM Philippine Time. Due to logistical reasons, only applicants based in the Philippines will be considered for this role.

About the Position:

Lead Consultant, Data Architecture & Engineering (GDC) | REMOTE

Key Highlights:

• Leadership Growth: This position provides opportunities to enhance your skills in technical leadership, including making strategic technical decisions, mentoring junior team members, and establishing relationships with project teams, clients, and executive leadership, all while actively working in your technical specialty.
• Azure-Centric Technology: Our main focus is on Microsoft Azure. You will have numerous opportunities to deepen your expertise within the Azure platform, contributing to a company committed to technical excellence and delivering outstanding client experiences in a niche domain. Just six months with us can equate to years of experience elsewhere.
• Partnership with Microsoft: Our strong global alliance with Microsoft grants us access to innovative Azure projects and direct collaboration with the teams behind the platform, an exclusive advantage not commonly found.
• Competitive Compensation: We offer a competitive salary, allowances, standard benefits, along with quarterly and yearly performance bonuses and other incentives.
• Flexible Work Environment: Enjoy a positive company culture with flexible options for remote work.

Core Technical Skills Required:

• Proven experience leading small to medium-sized technical teams, including task delegation, managing escalations, supporting team members, and representing the team in Agile ceremonies and client discussions.
• Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments.
• Experience developing data architectures that support various data formats: structured, semi-structured, and unstructured.
• Extensive experience managing full data warehouse project lifecycles.
• Strong understanding of data architecture principles to enable data integration.
• Proficiency with data modeling tools such as ER/Studio, ER/Win, or similar.
• Demonstrated ability to quickly learn and apply new technologies.
• Skills in data profiling and developing source-to-target data mappings.
• Ability to provision and configure Azure data services effectively.

Detailed Skill Requirements:

• Scripting in Python and SQL.
• Experience working with SQL and PySpark.
• Solid understanding of cloud architecture, including designing and building data pipelines based on project requirements.
• Knowledge of APIs, with a preference for candidates capable of creating and integrating APIs.

Preferred Experience, Skills, and Certifications:

• Microsoft Fabric.
• Azure Cosmos DB, Data Flows, ExpressRoute, and Azure Active Directory.
• Experience planning and executing migration strategies from on-premises environments to Azure.
• Power BI and semantic data modeling.
• Experience with AWS Glue, Azure Data Factory, AWS S3, and Azure Blob Storage.
• Familiarity with AWS Athena, Azure Databricks, AWS Redshift, and Azure Synapse Analytics.