Designation: Technical Lead

Location: Mph- Client Site, Charlotte, US

Job Summary:

We are seeking a highly skilled Hadoop Technical Lead to provide technical leadership and expertise within our Hadoop environment, specifically focused on data management and analysis. The ideal candidate will possess strong Hadoop DBA knowledge and a deep understanding of various Big Data technologies, ensuring seamless integration and optimal performance within the Hadoop ecosystem.

The Hadoop Technical Lead is responsible for end‑to‑end ownership of Hadoop / Big Data platforms, providing technical leadership, architecture guidance, and advanced operational support.

Responsibilities:

• Own the overall Hadoop platform architecture, design, and operational strategy
• Act as the technical escalation (L3) for complex production issues and performance bottlenecks
• Provide architecture-level guidance on Hadoop ecosystem components and integrations
• Lead platform assessments, optimization initiatives, and continuous improvement
• Design and enforce best practices for cluster configuration, resource management, and data layout
• Plan and execute Hadoop version upgrades, patching, and distribution migrations
• Ensure compliance with enterprise security, audit, and data governance policies
• Review and approve access models, service accounts, and encryption standards
• Establish proactive monitoring, ing, and observability mechanisms
• Work closely with Data Engineers, BI teams, Application teams, and Infrastructure teams
• Participate in design reviews, CABs, and technical governance forums
• Translate business requirements into scalable technical solutions
• Provide technical guidance and support for Hadoop-related projects, ensuring best practices are followed.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Optimize and maintain Hadoop clusters, ensuring high availability and performance.
• Implement and manage data ingestion processes using tools such as Flume and Kafka.
• Utilize HDFS, MapReduce, Hive, Impala, HBase, and Spark/Spark Streaming for data processing and analysis.
• Monitor and troubleshoot Hadoop ecosystem components, ensuring system reliability and efficiency.
• Stay updated with the latest trends and advancements in Big Data technologies and recommend improvements.
• Document architecture designs, processes, and best practices for future reference.

Mandatory Skills:

• Strong knowledge and experience as a Hadoop Architecture and Internals.
• Proficiency in HDFS, MapReduce, Hive, Impala, HBase, Flume, ZooKeeper, Spark/Spark Streaming, and Kafka.
• Deep understanding of the Hadoop ecosystem and its components.
• Experience in designing and implementing scalable data architectures.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Cluster monitoring, troubleshooting, and performance tuning
• Security implementation in Hadoop ecosystems

Preferred Skills:

• Familiarity with cloud-based Hadoop solutions (e.g., AWS EMR, Azure HDInsight).
• Experience with data modeling and ETL processes.
• Knowledge of machine learning frameworks and tools.
• Understanding of& & data management and analysis.
• Automation using Python, Shell, Ansible, or similar tools

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications in Hadoop or Big Data technologies are a plus.

About Mphasis:

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Equal Opportunity Employer:

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster here, view the EEO in the law supplement here. To view the pay transparency nondiscrimination provision please click here and to view the E-Verify posting click here.
Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to [email protected] and let us know your contact information and the nature of your request.