Lead Data Architecture & Engineering (GDC) Consultant - Remote

About the Position: Lead Consultant Data Architecture & Engineering (GDC) | Remote
Work Arrangement: Fully Remote
Schedule: Midshift
At least 5 years of relevant experience and at least 4 years of relevant leadership experience is needed.
Job Overview:
**Leadership Development** This role offers opportunities to enhance your technical leadership skills, including making technical decisions, mentoring junior team members, and building relationships with project, client, and company leadershipall while remaining actively involved in your technical domain.
**Technology Focus & Growth** Our primary focus is on Azure, providing numerous chances to develop your expertise within the Microsoft and Azure ecosystems in an environment dedicated to technical excellence and exceptional client experiences. Just six months with our team can equate to years of experience elsewhere.
**Partnerships & Opportunities** Our strong global partnership with Microsoft ensures access to innovative Azure projects and direct collaboration with the platforms creatorsan advantage not commonly found elsewhere.
**Compensation & Culture** We offer a competitive salary, allowances, standard benefits, and performance-based bonuses (quarterly and annually). Our company fosters a positive working environment and culture, with flexible options for remote work.
**Core Technical Skills Required:**

Proven experience leading small to medium technical teams, including task delegation, technical escalation, support, and 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

Experience in developing data architectures supporting diverse data formats: structured, semi-structured, and unstructured data

Hands-on involvement in full lifecycle data warehouse projects

Knowledge of data architecture necessary for data integration processes

Proficiency with data modeling tools such as ER/Studio, ER/Win, or similar

Familiarity with Microsoft Azure Data Platform services like Azure Data Lake Storage, Azure Blob Storage, Azure Synapse, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs

Demonstrated ability to quickly learn, adapt, and apply new technologies

Experience in data profiling and mapping source-to-target data transformations

Ability to provision and configure Azure data services

**Detailed Technical Skills:**
- Python and SQL scripting
- SQL and PySpark

General cloud architecture skillscapable of translating requirements into data pipeline solutions

API development knowledge; candidates with API creation skills are preferred

**Preferred Skills, Experience, & Certifications:**
- Microsoft Fabric

Microsoft Azure Cosmos DB, Data Flows, ExpressRoute, Azure Active Directory

Experience designing migration strategies from on-premise 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