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HCLTech is looking for a highly talented and self- motivated Azure DataOps Architect (Solution Architect) to join it in advancing the technological world through innovation and creativity.

Job ID: 2692570

Position Type: Full-time

Role/Responsibilities

We are seeking a highly skilled (Solution Architect) Azure DataOps Architect to lead the design and implementation of scalable, automated data operations on Microsoft Azure. This role bridges data engineering, cloud architecture, and DevOps practices to ensure efficient, secure, and reliable data workflows across the organization.

Must Haves for this Opportunity

• Experience as Solutions Architect
• Experience with DataOps Azure Architect
• Experience managing End to End Data specific tower
• Experience with Automation / Optimization (must have)
• Experience with Azure Databricks
• Experience with Azure Data Factory
• Experience with PySpark
• Experience Leading a team of 10 to 15 people onshore/ offshore mix (Leading, Mentoring, Managing)
• Experience working within Retail environment.

Key Responsibilities

• Architect Azure-Based Data/Ops Solutions
• Design and implement end-to-end data pipelines using Azure Data Factory, Synapse Analytics, Azure Databricks, and other Azure services
• Develop CI/CD pipelines for data workflows using Azure DevOps and GitHub Actions
• Automation & Orchestration: Automate data ingestion, transformation, and delivery processes
• Implement workflow orchestration using tools like Apache Airflow or Azure Logic Apps
• Monitoring & Optimization: Set up monitoring and alerting for data pipelines using Azure Monitor and Log Analytics
• Optimize performance, cost, and scalability of data solutions
• Governance & Security: Ensure data governance, lineage, and compliance using Azure Purview and RBAC
• Implement data security best practices including encryption, masking, and secure data sharing
• Work closely with data engineers, analysts, and business stakeholders to align data operations with business goals
• Promote Data/Ops culture and best practices across teams

Required Qualifications

• Bachelor's or master's degree in computer science, Data Engineering, or related field
• 7+ years of experience in data engineering or cloud architecture
• Strong understanding of DevOps principles and CI/CD tools

Pay and Benefits

Pay Range Minimum: $121,000/year

Pay Range Maximum: $248,600/year

HCLTech 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 ...@hcltech.com for investigation

Compensation and Benefits

A candidate's pay within the range will depend on their work location, 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; 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.

For more information about this role and to apply, please reference Job ID 2692570.