Senior Data Technology Manager

Position Summary The ideal candidate will demonstrate a unique blend of strategic leadership, technical acumen, and organizational influence to drive enterprise-scale technology initiatives. This role requires proven ability to lead complex programs, manage risk, and foster innovation while ensuring operational excellence. Core Leadership Competencies Executive Engagement & Influence: Ability to maintain strong partnerships with senior leadership, lead platform reviews, and align technology initiatives with enterprise strategy. Team Development & Talent Management: Skilled in building high-performing teams, promoting leadership layers, and retaining critical subject matter expertise through strategic hiring and conversion. Cross‑Functional Collaboration: Expertise in fostering synergies across programs and platforms, driving alignment between business and technology stakeholders. Technical Expertise Enterprise Data Platforms & Modernization: Deep experience in Hadoop ecosystems, Cloudera CDP upgrades, federated compute/storage architecture, and advanced data lake solutions. Infrastructure Scaling & Optimization: Proven ability to deliver creative infrastructure growth, implement secure and governed architectures, and enable self‑service capabilities. Risk Management & Compliance: Strong background in vulnerability remediation) OS upgrades and automation strategies to reduce technical debt and improve efficiency. Innovation & Emerging Technologies: Track record of delivering AI/GenAI solutions, decommissioning legacy platforms, and implementing cost‑efficient in‑house models. Strategic Program Delivery Successful execution of large‑scale application migrations, platform upgrades, and modernization initiatives supporting critical regulatory programs. Ability to secure and manage multi‑million‑$ funding for technology programs, ensuring alignment with organizational priorities. Organizational Engagement Active participation in executive leadership programs and innovation councils. Commitment to diversity and inclusion through mentorship and community engagement. Leadership in associate engagement initiatives, driving recognition and cultural impact across global teams. Responsibilities The Hadoop Architecture Lead is responsible for defining, driving, and governing the architecture of the enterprise Hadoop ecosystem. This role ensures scalability, reliability, cost efficiency, and alignment with broader the Modern Data Platform strategy, observability tools, while working with tenants to enable advanced analytics, AI/ML, and data product use cases. Sets and tracks quality and performance objectives by leveraging team and client feedback and facilitating performance and career development of individuals through performance reviews, coaching, and building individual development plans to improve competencies. Builds and maintains teams through hiring and training, manages team resources and financials to ensure maturity objectives are met, and provides the necessary resources to enable team members to achieve them. Manages relationships with business and technology leaders and vendors for technical products and creates an inclusive and healthy working environment to resolve organizational impediments and blockers. Ensures efficacy of data and information solution delivery, including prioritizing technology debt, compliance, and security items and supports application performance in production, including application health, resiliency, security, enterprise data management standards, global records management standards, and audit exams and reviews. Creates the technology strategy for the respective technical domain, aligning execution with product strategy by working with Product Managers, Product team members, and other stakeholders. Ensures all relevant risk, financial, and compliance policies and standards are met. Leads and creates followership in Communities of Practice in the organization. Required Qualifications Extensive Engineering experience working w/ Hadoop, Kafka, Spark, Impala, Hive, Hbase etc. Leadership/Management experience driving large‑scale data platform strategies across data lake, warehouse, and distributed computing systems. Strong knowledge of Hadoop Architecture, HDFS, Hadoop Cluster and Hadoop Administrator's role. Intimate knowledge of fully integrated AD/Kerberos authentication. Experience setting up optimum cluster configurations. Debugging knowledge of YARN. Hands‑on with analyzing various Hadoop log files, compression, encoding, & file formats. Expert level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper and Postgres. Strong technical knowledge: Unix/Linux; Database (Sybase/SQL/Oracle), Java, Python, Perl, Shell scripting, Infrastructure. Experience in Monitoring & Alerting, and Job Scheduling Systems. Being comfortable with frequent, incremental code testing and deployment. Strong grasp of automation / DevOps tools – Ansible, Jenkins, SVN, Bitbucket. Desired Qualifications Experience working on Big Data Technologies. Cloudera Admin / Dev Certification. Certification in Cloud, Docker‑Container, OpenShift Technologies. Managerial Responsibilities Opportunity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals. Manager of Process & Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement. Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions. Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, elevate and debate issues. People Manager & Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance. Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions. Enterprise Talent Leader: Assess talent and build bench strength for roles across the organization. Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team work. Skills Budgeting Data Management Presentation Skills Technical Strategy Development Workforce Planning Business Case Review Data Governance Leadership Development Risk Management Stakeholder Management Architecture Data Quality Management Data Visualization Program Management Solution Delivery Process Shift 1st shift (United States of America) Hours Per Week 40 #J-18808-Ljbffr SwiftCruit