**Description** At **American Express** , our culture is built on a 175-year history of innovation, shared values , and Leadership Behaviors — and an unwavering commitment to back our customers, colleagues, and communities. As part of **Team Amex** , you’ll experience this powerful backing through holistic well-being, continuous learning, and opportunities to grow as a leader and define the future of American Express. We are seeking a **strategic and hands-on Director of Data Engineering** to lead the **Lumi Migration and Accelerator Engineering** initiatives, based in **Chennai, India** . This leader will drive Lumi’s data modernization journey by developing automation frameworks, accelerators, and validation tools that power large-scale migrations from legacy systems to Lumi’s **cloud-native (GCP) platform** . The ideal candidate combines deep engineering expertise with platform vision and strong execution capabilities to deliver automation-first, scalable, and resilient data transformation solutions. This role will closely partner with the **Lumi Product team** on the enterprise data migration roadmap, the **UDM team** to leverage and enhance the Data Ingestion Framework (DIF), and the **Lumi Platform team** to coordinate platform-level engineering and integration efforts. **Key Responsibilities** + Lead design and delivery of **Lumi data accelerators** automating migration, transformation, and validation at scale. + Own the **end-to-end migration lifecycle** — from planning and execution to validation and post-migration stabilization. + Build **reusable tools, APIs, and frameworks** that standardize modernization workflows and enable self-service onboarding. + Develop **automation pipelines** for metadata extraction, schema mapping, lineage, and code conversion to **GCP-native services** (BigQuery, Dataproc, Dataflow). + Collaborate with **Lumi Product** , **UDM** , and **Platform** teams to ensure alignment of frameworks, governance, and platform capabilities. + Define and enforce **engineering standards** for scalability, performance, and cost efficiency. + Create **validation and reconciliation frameworks** ensuring accuracy, completeness, and data quality during and after migration. + Integrate **data governance, lineage, and compliance controls** across all automation pipelines. + Implement **observability and reliability engineering practices** using Prometheus, Grafana, or Stackdriver. + Oversee **migration operations** , ensuring SLA adherence, data integrity, and proactive incident management. + Define and track **KPIs/OKRs** for automation adoption, migration velocity, and operational excellence. + Mentor and develop **high-performing teams** focused on automation, GCP engineering, and platform innovation. + Foster a culture of **engineering excellence, collaboration, and continuous improvement** across Lumi’s global teams. **Minimum Qualifications** + 10–15 years in **Data Platform Engineering, Software Development** , or **Cloud Automation** , leading large-scale data migration or tooling initiatives. + Bachelor’s or Master’s degree in **Computer Science, Engineering** , or a related field. + Proven expertise in **automation frameworks, validation tools** , and **data migration engineering** . + Strong experience with **distributed data frameworks** (Spark, Beam, Flink) and **GCP services** (BigQuery, Dataproc, Dataflow, GCS). + Background in **metadata management, lineage** , and **governance integration** (Collibra, Apache Atlas, Informatica). + Proficiency in **CI/CD** and **Infrastructure-as-Code** (Terraform, Jenkins, Argo, GitHub Enterprise). + Solid understanding of **observability, SRE, and fault-tolerant design** for large-scale data platforms. + Strong stakeholder management skills and proven ability to lead **Agile, globally distributed** engineering teams. **Preferred Qualifications** + Experience in **BFSI or FinTech** data modernization or cloud migration programs. + Exposure to **AI/ML data pipelines** for analytics, fraud, or risk modeling. + Experience implementing **FinOps** and cloud cost-optimization strategies. + Knowledge of **data compliance and risk management** in enterprise environments. + **GCP Professional Data Engineer** or **Cloud Architect** certification. **Qualifications** We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: + Competitive base salaries + Bonus incentives + Support for financial-well-being and retirement + Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) + Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need + Generous paid parental leave policies (depending on your location) + Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) + Free and confidential counseling support through our Healthy Minds program + Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. **Job:** Technologies **Primary Location:** India-Tamil Nadu-CHENNAI **Schedule** Full-time **Req ID:** 25021027