Group Technical Architect

Job description

Job Title Data Lead – Azure Databricks / GCP Job Summary We are seeking an experienced Data Lead with 14+ years of experience in designing, building, and leading large-scale enterprise data platforms on Azure Databricks and Google Cloud Platform (GCP). The ideal candidate will be responsible for driving data transformation initiatives, defining data architecture, leading engineering teams, and delivering scalable, secure, and high-performance data solutions. The role requires strong leadership capabilities along with deep expertise in modern data engineering, cloud technologies, and analytics platforms. Key Responsibilities Data Strategy & Leadership Lead enterprise-wide data engineering and modernization initiatives. Define and implement cloud data strategies aligned with business objectives. Mentor and manage data engineers, solution architects, and technical leads. Collaborate with business stakeholders, product teams, and leadership to establish data roadmaps. Drive adoption of best practices in data governance, security, and architecture. Data Engineering & Architecture Design and develop scalable data platforms using Azure Databricks and GCP services. Architect batch, streaming, and real-time data processing solutions. Build and optimize data pipelines using modern ETL/ELT frameworks. Define data models, data quality frameworks, and metadata management strategies. Ensure high availability, reliability, and scalability of data ecosystems. Cloud & Platform Management Implement end-to-end solutions on Azure and GCP cloud environments. Lead cloud migration and data modernization programs. Optimize cloud infrastructure utilization and cost management. Establish CI/CD, DevOps, and DataOps practices for data delivery. Analytics & Governance Collaborate with analytics and BI teams to enable self-service reporting and advanced analytics. Implement data governance, lineage, cataloging, and compliance frameworks. Establish monitoring, observability, and operational support processes. Skill Requirements Technical Skills Azure Azure Databricks Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Storage Gen2 (ADLS) Azure Event Hub Azure Functions Azure DevOps GCP BigQuery Cloud Storage Dataflow Dataproc Pub/Sub Composer (Airflow) Cloud Functions IAM & Security Services Data Engineering Apache Spark (PySpark/Scala) Delta Lake Lakehouse Architecture ETL/ELT Frameworks Real-time Streaming Kafka Data Warehousing Concepts Programming Python SQL Scala (Preferred) Shell Scripting Data Management Data Modeling Data Governance Data Quality Frameworks Master Data Management (MDM) Metadata Management DevOps & Automation CI/CD Pipelines Terraform Infrastructure as Code (IaC) Git Docker Kubernetes (Preferred) Experience leading distributed teams of Data Engineers and Technical Leads. Strong stakeholder management and executive communication skills. Proven ability to drive large-scale data transformation programs. Experience managing project delivery, risk mitigation, and resource planning. Strong mentoring and team development capabilities. Other Requirements Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related discipline. Azure and/or GCP Cloud certifications preferred. Experience working in Agile/Scrum environments. Strong analytical and problem-solving skills. Excellent client-facing, presentation, and communication skills. Experience in enterprise-scale data modernization, cloud migration, and analytics transformation programs. Experience with retail, banking, telecom, healthcare, or other large enterprise domains is preferred. Maximum Salary (US): 211,000 Minimum Salary (US): 160,000 Apply now Information at a Glance Why HCLTech? 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 2026 totaled $14.8 billion. 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. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. 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