- Company Name
- Aklip Technologies LLC
- Job Title
- Azure Data Lead/Architect
- Job Description
-
**Job Title**
Azure Data Lead/Architect
**Role Summary**
Lead the design, implementation, and governance of enterprise data architecture on Azure. Oversee end‑to‑end data programs, integrate analytics and AI/ML workloads, and mentor engineering teams to deliver scalable, secure, and compliant data solutions.
**Expectations**
- Deliver architecture strategy aligned with business and technical goals.
- Lead large‐scale data initiatives as a Technical Program Manager.
- Ensure high performance, security, and compliance across all data assets.
- Foster collaboration with cross‑functional stakeholders and offshore teams.
**Key Responsibilities**
- Own data architecture strategy using Azure Synapse, Data Factory, Databricks, Data Lake, Cosmos DB, and related services.
- Design, review, and optimize conceptual, logical, and physical data models for warehouses, lakehouses, and transactional systems.
- Translate business requirements into scalable architecture in partnership with product owners and engineering teams.
- Manage program planning, execution, risk, and dependency for large‑scale data projects.
- Enforce data governance, security, compliance, and performance standards.
- Guide ETL/ELT pipeline design, data integration, and API‑driven architectures.
- Collaborate with enterprise architects, cloud engineers, and data scientists to support advanced analytics and AI/ML.
- Mentor data engineers and analysts on best practices.
- Monitor emerging technologies and recommend enhancements for scalability and operational efficiency.
**Required Skills**
- Azure analytics services: Synapse, Databricks, Data Factory, Data Lake, Cosmos DB.
- Data modeling (dimensional, relational, star/snowflake, NoSQL).
- SQL, Python, and/or PySpark for data processing and model validation.
- DevOps fundamentals: CI/CD, Azure DevOps, Docker, Kubernetes.
- Strong problem‑solving, communication, stakeholder management, and program leadership.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- Azure certifications (Data Engineer Associate, Solutions Architect, or Data Scientist) preferred.