Senior Data Engineer

HCLTech; Lansing (MI); On-site; USD 100,000 - 148,000; Full time

Benefits offered by this job

401(k) retirement plan

Medical insurance

Dental & Vision insurance

Paid time off (10 days)

Paid holidays (10)

Job summary

HCLTech is seeking a Senior Technical Lead – Data Engineering to drive scalable data platforms using Snowflake, Azure Data Factory, and Azure Databricks. You will lead data engineering teams, design data pipelines, and collaborate with stakeholders.

The role requires hands-on Snowflake, ADF, and Databricks expertise, strong leadership, and experience in Agile environments. We offer competitive compensation, benefits, and opportunities to advance in a global technology leader.

Qualifications

• Strong hands-on Snowflake data modeling, SQL querying, data processing and optimization.
• Extensive experience with Azure Data Factory for ETL/ELT, workflow orchestration and pipeline development.
• Hands-on experience with Azure Databricks for data engineering, processing and analytics workloads.
• Proven ability to lead, mentor, and guide data engineering teams in an Agile environment.
• Excellent written and verbal communication with stakeholders across business and tech teams.

Responsibilities

• Lead data engineering teams to implement solutions using Snowflake, ADF, and Databricks.
• Design and optimize scalable data pipelines and data models.
• Collaborate with stakeholders to translate requirements into data solutions.
• Ensure data quality, reliability, and performance of pipelines.
• Mentor team members and promote data engineering best practices.

Skills

SQL

Data Engineering

Leadership

Agile

Communication

Education

Bachelor's degree or equivalent in CS/IT/Engineering

Tools

Snowflake

Azure Data Factory

Azure Databricks

Job description

HCLTech is looking for a highly talented and self-motivated Senior Technical Lead – Data Engineering to join it in advancing the technological world through innovation and creativity.

Job Title: Senior Technical Lead – Data Engineering

Job ID: 149322

Position Type: Full-time

Role/Responsibilities

• Lead and provide technical direction to data engineering teams responsible for implementing solutions using Snowflake, Azure Data Factory (ADF), and Azure Databricks.
• Design, develop, implement, and maintain scalable and reliable data pipelines to support business and analytics requirements.
• Develop and optimize ETL/ELT processes using Azure Data Factory, Databricks, and Snowflake.
• Design effective data models and implement data solutions in Snowflake, including query and performance optimization.
• Develop data processing solutions using Azure Databricks to support data engineering, analytics, and related workloads.
• Work closely with business stakeholders, data architects, analysts, application teams, and other technical teams to understand requirements and translate them into effective data solutions.
• Identify opportunities to improve data integration, data quality, data processing, and analytics capabilities.
• Monitor data pipelines and data-processing workflows, troubleshoot issues, and implement solutions to ensure reliability, performance, and data quality.
• Analyze and resolve complex technical issues related to data pipelines, integration processes, processing failures, and performance bottlenecks.
• Collaborate with cross-functional teams to integrate data solutions with existing applications, platforms, and enterprise systems.
• Establish and promote data engineering best practices, coding standards, development methodologies, and performance optimization techniques.
• Provide technical expertise, guidance, and mentorship to team members, fostering continuous learning and innovation.
• Participate in Agile ceremonies, sprint planning, technical discussions, estimation, and project execution activities.
• Stay current with emerging technologies, tools, and best practices in cloud data engineering, data management, analytics, Snowflake, Azure, and Databricks.
• Support successful project delivery by coordinating technical activities, managing priorities, identifying risks, and ensuring solutions meet defined business and technical requirements.
• Preferably an undergraduate / associate-level degree / diploma from an accredited institution in Computer Science, Information Technology, Engineering, Data Science, or a related technical field. Equivalent technical education and relevant professional experience may also be considered.
• Strong hands-on experience with Snowflake, including data modeling, SQL querying, data processing, and performance optimization.
• Strong hands-on experience with Azure Data Factory (ADF) for data integration, ETL/ELT, workflow orchestration, and pipeline development.
• Hands-on experience with Azure Databricks for data engineering, data processing, transformation, and analytics workloads.
• Demonstrated experience designing, developing, maintaining, and optimizing complex data pipelines.
• Strong understanding of ETL/ELT processes and modern cloud-based data engineering practices.
• Experience troubleshooting data pipeline failures, data-quality issues, performance bottlenecks, and integration challenges.
• Strong SQL and data-engineering skills with the ability to work with large and complex datasets.
• Ability to collaborate effectively with technical and non-technical stakeholders and translate business requirements into technical solutions.
• Strong technical leadership skills with experience providing guidance, mentoring, and support to technical team members.
• Strong analytical and problem-solving skills with the ability to independently investigate and resolve complex technical issues.
• Experience working in Agile development environments and familiarity with project management and software development practices.
• Excellent written and verbal communication skills.

Desired Qualifications

• Relevant certifications in Snowflake, Microsoft Azure, Azure Data Factory, or Databricks.
• Experience implementing enterprise-scale cloud data platforms and data integration solutions.
• Knowledge of advanced Snowflake performance-tuning and optimization techniques.
• Experience with Databricks-based data processing and modern data engineering frameworks.
• Familiarity with data analytics, data warehousing, and cloud data-platform architecture.
• Experience working with cross-functional teams in large enterprise environments.
• Strong understanding of data governance, data quality, security, and data management best practices.

Pay and Benefits

Pay Range Minimum: $100000

Pay Range Maximum: $148000

HCL is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to [e-mail] for investigation.

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.

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

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