About the Position:Lead Consultant Data Architecture & Engineering (GDC) | REMOTE
We only need Philippine-based applicants.
Key Highlights:
Leadership Growth:This role offers opportunities to enhance your technical leadership skills, including making key technical decisions, mentoring junior team members, and building relationships with project, client, and company leadershipall while staying actively engaged in your technical areas of expertise.
Azure-Centric Environment:Our focus is on Microsoft Azure technology, providing numerous chances to develop your skills within a dedicated, high-standard environment committed to technical excellence and exceptional client service. Six months of experience with us is equivalent to years elsewhere.
Microsoft Partnership:Our strong global relationship with Microsoft ensures access to innovative Azure projects and direct collaboration with the platforms development teamsadvantages you wont find in most organizations.
Competitive Compensation:We offer a comprehensive salary package, allowances, standard benefits, quarterly and annual performance bonuses, and other incentives.
Flexible Work Culture:Enjoy a positive working environment and company culture with flexible remote working options.
Essential Technical Skills:
Proven experience leading small to medium technical teams, including task delegation, technical escalation, supporting team members, and participating in Agile ceremonies and client meetings.
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 formatsstructured, semi-structured, and unstructured.
Hands-on experience with full lifecycle data warehouse projects.
Understanding of data architecture requirements for data integration processes.
Proficiency with data modeling tools such as ER/Studio, ER/Win, or similar.
Familiarity 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.
Ability to quickly learn, adopt, and apply new technologies.
Skills in data profiling and creating source-to-target data mappings.
Capable of provisioning and configuring Azure data services.
Detailed Technical Skills:
- Python and SQL scripting expertise.
- Experience with SQL and PySpark.
Knowledge of general cloud architectureable to translate requirements into data pipelines.
API development skills are required; preference for candidates who can also create APIs.
Preferred Experience, Skills, and Certifications:
- Familiarity with Microsoft Fabric.
Experience with Microsoft Azure Cosmos DB, Data Flows, ExpressRoute, and Azure Active Directory.
Proven ability to develop strategies for migrating clients from on-premise environments to Azure.
Power BI and semantic modeling experience.
Knowledge of AWS Glue, Azure Data Factory, AWS S3, Azure Blob Storage.
Experience with AWS Athena, Azure Databricks, AWS Redshift, Azure Synapse Analytics.
- Familiarity with AWS ECS, Azure AKS.
Originally posted on Himalayas