Azure Data Lead

HCL Technologies Limited; Blue Earth (MN); On-site; USD 120,000 - 170,000; Full time

Job summary

HCL Technologies Limited is seeking a Technical Lead to oversee and guide data engineering projects leveraging Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL and Python. You will design, develop, and implement scalable data solutions aligned with business requirements.

Responsibilities include leading end-to-end data pipelines, guiding the team, ensuring data quality and governance, and collaborating with stakeholders to translate needs into robust analytics capabilities.

Qualifications

• Proficiency in Azure Data Factory and Azure Databricks for building data pipelines.
• Strong experience with SQL and Oracle PL/SQL for data querying and manipulation.
• Advanced programming skills in Python for scripting and data processing tasks.
• Knowledge of data modeling, data warehousing concepts, and database design principles.
• Ability to work in a collaborative team environment and communicate effectively with stakeholders.
• Strong analytical and problem-solving skills with attention to detail.
• Experience in data visualization tools is a plus.
• Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.

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 and understand requirements for data pipelines and analytics solutions.
• Design and develop ETL processes, data models, and data integration solutions.
• Provide technical guidance and mentorship to the team members.
• Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.
• Troubleshoot and optimize data pipelines and processes for performance and efficiency.
• Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.

Skills

SQL

Oracle PL/SQL

Python

Data modeling

Data warehousing

Database design principles

Stakeholder communication

Data governance

Data visualization

Tools

Azure Data Factory

Azure Databricks

Job description

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.

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.

Compensation and Benefits

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

• medical
• dental
• vision
• pharmacy
• life
• accidental death & dismemberment
• disability insurance
• employee assistance program
• 401(k) retirement plan
• 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year)
• 10 paid holidays per year