About the role
TASQ is currently seeking qualified applicants for this position. The work schedule is from 5pm to 2am. Due to logistical reasons, we can only accept applicants based in the Philippines.
Job Title: Lead Data Architecture & Engineering Consultant (GDC) | REMOTE
Job Overview:
This role offers leadership opportunities, allowing you to expand your expertise in technical leadership responsibilities. You will be involved in making technical decisions, mentoring junior team members, and building relationships with project, client, and company leadershipall while remaining actively hands-on in your technical domain. The primary technology focus is on Azure, providing numerous opportunities to develop skills within the Microsoft and Azure ecosystems in an environment dedicated to technical excellence and exceptional client service. Six months of experience on our team can equate to years of experience elsewhere.
Partnerships:
Our strong global relationship with Microsoft ensures access to innovative Azure projects and direct engagement with the teams that develop the platform, offering unique professional growth opportunities unavailable elsewhere.
Compensation & Culture:
We offer a competitive salary package, allowances, standard benefits, and performance-based bonuses quarterly and annually. Our company culture emphasizes a positive work environment, with flexible work arrangements to support work-life balance.
Key Technical Skills:
Proven experience leading small to medium technical teams, including task allocation, technical escalation, support, and representing the team in Agile ceremonies and client meetings.
Expertise in designing and deploying logical and physical data models for cloud and hybrid data warehouse environments.
Experience in developing data architectures that support various data formats, including structured, semi-structured, and unstructured data.
Hands-on experience with full lifecycle data warehouse projects.
Knowledge of data architecture principles for data integration processes.
Familiarity with data modeling tools such as ER/Studio, ER/Win, or similar.
Proficiency with Microsoft Azure Data Platform services, including Azure Data Lake Storage, Azure Storage, Azure Synapse Analytics, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs.
Ability to quickly learn, adopt, and apply new technologies.
Experience in data profiling and creating source-to-target data mappings.
Skilled in provisioning and configuring Azure data services.
Detailed Skill Requirements:
- Python and SQL scripting expertise.
- Experience with SQL and PySpark.
General competency in cloud architecture, capable of translating requirements into data pipeline solutions.
API development knowledge; candidates who can create APIs will be preferred.
Preferred Experience, Skills, and Certifications:
- Microsoft Fabric
Azure Cosmos DB, Data Flows, ExpressRoute, Azure Active Directory
Experience planning and executing migration strategies from on-premises environments to Azure
- Power BI and semantic data modeling
- AWS Glue and Azure Data Factory
- AWS S3 and Azure Blob Storage
- AWS Athena and Azure Databricks
AWS Redshift and Azure Synapse Analytics
- AWS ECS and Azure AKS
Originally posted on Himalayas