Lead Consultant Data Architecture & Engineering (GDC) | Remote

Tasq Work; Philippines; Remote; PHP 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Competitive compensation package

Performance-based bonus

Remote work

Flexible work location

Job summary

Tasq Work is seeking an experienced data engineer to lead Azure-based data solutions in a remote, midshift role. You will design data models, build pipelines, and drive data integration across cloud services while mentoring junior engineers.

The ideal candidate has hands-on experience with Azure Data Lake, Synapse, Data Factory, and API integration, and can translate business requirements into scalable data architectures. This role offers a competitive package and a flexible remote work setup.

Qualifications

• Experience leading small to medium sized technical teams and Agile ceremonies.
• Expertise designing and implementing logical and physical data models for cloud/hybrid data warehouses.
• Implementing data architectures to support various data formats including structured, semi-structured and unstructured data.
• Experience with multiple full life-cycle data warehouse implementations.
• Understanding data architectures to support data integration processing.
• Experience with ER/Studio or ER/Win for data modeling.
• Proficiency with Microsoft Azure Data Platform services (Azure Data Lake Store, Azure Synapse, Azure Data Factory, Azure SQL, Logic Apps, APIs).
• Ability to learn new technologies quickly and map source to target data flows.

Skills

Leadership & team management

Azure Data Platform

Data modeling

Data integration architecture

APIs

Python & SQL scripting

SQL

PySpark

Cloud architecture

Tools

ER/Studio

ER/Win

Azure Data Factory

Azure Data Lake Store

Azure Synapse

Azure SQL Database

Power BI

AWS Glue

Azure Databricks

AWS Redshift

Azure AKS

Job description

Work Setup:Remote

Schedule:Midshift

Job Highlights:

• Leadership Opportunities- This role will help you extend and expand your knowledgeand experience in technical leadership positions. These include technical decision-making; guidance and mentorship of more junior team members; and developingrelationships 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 growyour skills in Microsoft and Azure in an environment committed to technical excellenceand client experience in a very specific, defined space. Six months of experience on ourteam is worth years somewhere else.
• Microsoft Partnerships -Our great global relationship with Microsoft ensures that wehave a pipeline of cutting-edge Azure work opportunities, and access to the teams thathave built the platform. You wont find this at other places.
• Competitive compensation package, salary, allowance, standard benefits includingquarterly and annual performance-based cash bonus and other remuneration.
• Great working environmentandcompany culturewithflexible work location.

General Required Technical Skills:

• Experience leading small to medium sized technical teams (this includes workallocation/distribution to team members, technical escalation and support, representingthe team in Agile ceremonies and client meetings).
• Expertise in designing and implementing logical and physical data models for cloud andhybrid data warehouse environments
• Implementing data architectures to support a variety of data formats and structuresincluding 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 andbuilding 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 toAzure
• 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