Azure Data Lead

Sapsf; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

Sapsf is seeking a Technical Lead to oversee data engineering initiatives across Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, and Python. You will design, develop, and implement robust data solutions aligned with business needs.

You will lead end-to-end projects, mentor teammates, ensure data quality and governance, and collaborate with stakeholders to deliver scalable analytics capabilities.

Qualifications

• Experience with Azure Data Factory and Azure Databricks to build and manage data pipelines.
• Strong SQL and Oracle PL/SQL skills for data querying and manipulation.
• Advanced Python skills for scripting and data processing tasks.

Responsibilities

• Lead and manage end-to-end data engineering projects using Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL and Python.
• Collaborate with stakeholders to gather requirements for data pipelines and analytics solutions.
• Design and develop ETL processes, data models, and data integration solutions.

Skills

Azure Data Factory

Azure Databricks

SQL

Oracle PL/SQL

Python

Data modeling

Data warehousing

Database design

Stakeholder communication

Team mentorship

Data governance

Data quality

Job description

Requisition ID176013-Posted10/05/2026

The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices.

Key Responsibilities

• 1. Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.
• 2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.
• 3. Design and develop etl processes, data models, and data integration solutions.
• 4. Provide technical guidance and mentorship to the team members.
• 5. Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.
• 6. Troubleshoot and optimize data pipelines and processes for performance and efficiency.
• 7. Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.

Skill Requirements

• 1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.
• 2. Strong experience with sql and oracle pl/sql for data querying and manipulation.
• 3. Advanced programming skills in python for scripting and data processing tasks.
• 4. Knowledge of data modeling, data warehousing concepts, and database design principles.
• 5. Ability to work in a collaborative team environment and communicate effectively with stakeholders.
• 6. Strong analytical and problem-solving skills with attention to detail.
• 7. Experience in data visualization tools and techniques is a plus.

Other Requirements

• 1.Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.