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

TASQ Staffing Solutions; Makati; Remote; PHP 6,154,000 - 9,231,000; Full time

Benefits offered by this job

Competitive compensation package

Performance-based bonuses

Flexible work location

Great company culture

Job summary

A staffing solutions firm is seeking a Senior Consultant for Data Architecture & Engineering to lead technical teams and implement data models in Azure. This role offers competitive compensation and a flexible work environment. The ideal candidate has leadership experience and expertise in Azure services, including Azure Data Lake and SQL Database. Join a dynamic team dedicated to technical excellence and client experience.

Qualifications

• Experience leading small to medium sized technical teams.
• Expertise in designing and implementing data models for cloud environments.
• Demonstrated ability to learn and apply new technologies.
• Experience in full life-cycle data warehouse implementations.
• Proficient with data modeling tools such as ER/Studio or ER/Win.
• Hands-on with Azure Data Platform services: Data Lake, Synapse, Data Factory.

Responsibilities

• Lead technical decision-making and mentorship for junior team members.
• Design and implement logical and physical data models.
• Provision and configure Azure data service resources.

Skills

Leadership in technical teams

Azure services expertise

Data modeling technologies

Python scripting

SQL scripting

API design

Tools

Azure Data Lake Store

Azure SQL Database

Power BI

Azure Synapse

Azure SQL Database

Azure Data Lake Store

Logic Apps

APIs

Job description

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

Work Setup: Remote

Schedule: Midshift

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 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.
• Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonus 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, 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, 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:

• 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 S3 & Azure Blob
• AWS Athena & Azure Databricks
• AWS Redshift & Azure Synapse
• AWS ECS & Azure AKS