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.
• Hands-on experience with Microsoft Azure Data Platform services, including Azure Data Lake Store, Azure Storage, Azure Synapse Analytics, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs.
• 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.

- Knowledge of AWS ECS and Azure AKS.

Originally posted on Himalayas