Role Summary This is a hands-on, customer-facing Data Engineering Lead role responsible for running, operating, and modernizing a Teradata data platform in a highly complex enterprise environment. The position serves as the face of the organization for a specific business domain within the A&I group and owns production stability, SLAs, incident response, and delivery of new GCP-based pipelines. Key Responsibilities Operations & Production Ownership (Run and Operate)Serve as the single accountable lead for production operations across Teradata for an assigned business domain.Own incident management, emergency response, SLA adherence, and advance change notifications.Take full end-to-end ownership of issues, including triage, root cause analysis, resolution, communication, and post-incident follow-ups.Run and operate Teradata platforms, including shell scripting, batch orchestration, job scheduling, monitoring, and recovery.Actively manage and update Jira tickets, ensuring accurate status, documentation, and stakeholder communication.Teradata & Legacy Platform ExpertiseProvide deep Teradata architectural expertise, including data warehouse design, SQL performance tuning, workload management, and capacity planning.Maintain and stabilize legacy Teradata systems where institutional knowledge has been reduced due to layoffs and transitions.Troubleshoot complex production issues independently when escalation paths or in-house expertise are limited.Ensure business continuity while balancing legacy operational demands with modernization goals.Customer & Stakeholder EngagementAct as the primary client-facing lead, representing the organization in operational reviews, incident discussions, and delivery updates.Partner closely with business, analytics, and upstream/downstream technology teams to align priorities and expectations.Communicate clearly and confidently with senior stakeholders during critical incidents and high-visibility situations.Translate ambiguous or evolving business needs into actionable operational and engineering solutions.Leadership & AccountabilityFunction as a domain lead supporting a specific director and organizational area.Set technical direction, operational standards, and best practices within the assigned scope.Lead by example through hands-on execution, ownership mentality, and strong operational discipline. Required Qualifications 8+ years of experience in data engineering or data platform operations.Strong, hands-on experience running Teradata in production environments, including shell scripting and operational troubleshooting.Solid working knowledge of GCP data services and cloud-based data engineering patterns.Proven experience handling production incidents, SLAs, and mission-critical systems.Comfortable working in high-stress, customer-facing environments with limited support availability.Strong communication skills with both technical teams and business stakeholders.Preferred QualificationsExperience supporting hybrid Teradata + GCP environments during cloud migration.Background in enterprise analytics or A&I (Analytics & Insights) organizations.Familiarity with ITSM tools (e.g., Jira) and structured incident management processes.Experience operating in environments with legacy systems and limited documentation. Job Description Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. Job Description - Grade Specific The role involves leading and managing a team of data engineers, defining and executing the data engineering strategy, and ensuring the effective delivery of data solutions. They provide technical expertise, drive innovation, and collaborate with stakeholders to deliver high quality, scalable, and reliable data infrastructure and solutions. The base compensation range for this role in the posted location is $76,200 to $187,740 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility