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, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We are seeking a highly skilled and motivated Senior Databricks Engineer to join our growing data engineering team. In this role, you will lead the design, development, optimization and implementation of large-scale data processing systems using Databricks. Your deep experience in data engineering and familiarity with either AWS or GCP will be essential in building robust, scalable, and efficient data pipelines. Our team is embarking on a transformational journey to migrate current Databricks based Data platform built on AWS to GCP based Databricks. You will lead several modules related to this project while interacting and building solutions aside some of the sharpest minds at Amex.
Key Responsibilities
- Work closely with enterprise teams such as LUMI, Cloud engineering, Infosec etc. to design, build, and maintain scalable data pipelines using Apache Spark on Databricks.
- Migrate existing AWS based data platform to GCP lumi and integrate with enterprise solutions.
- Architect and optimize ETL/ELT workflows for high-volume, low-latency data processing.
- Collaborate with data scientists, analysts, and business stakeholders to deliver reliable and high-quality data solutions.
- Manage and monitor Databricks clusters and job workloads for performance and cost optimization.
- Implement best practices in data lakehouse architecture, data governance, and security.
- Work with various data storage technologies including Delta Lake, Parquet, SQL, and NoSQL databases.
- Integrate data across various cloud services and APIs.
- Mentor junior engineers and promote knowledge sharing across the team.
- Drive automation and CI/CD practices for data workflows and infrastructure deployment.
- Stay up to date with the latest trends and advancements in the data engineering ecosystem.
Required Qualifications
- 8+ years of experience in data engineering with a strong focus on distributed systems and big data technologies.
- 3+ years of hands-on experience with Databricks and Apache Spark in production environments.
- Strong experience with Delta Lake, data lakehouse architectures, and performance tuning in Databricks.
- Proven expertise in building and managing data pipelines (ETL/ELT) using Python, Scala, or SQL.
- Solid understanding of cloud-native services on at least one public cloud (AWS, or GCP).
- Experience working with tools like Airflow, DBT, or similar for orchestration and transformation.
- Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure as Code (e.g., Terraform).
- Strong knowledge of data modeling, data quality, and data governance practices.
- Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications
- Databricks certifications (e.g., Databricks Certified Data Engineer Professional).
- Experience with streaming data technologies like Kafka or Spark Structured Streaming.
- Experience in a regulated or enterprise-scale environment.
Minimum Qualifications
Salary Range: $110,000.00 to $190,000.00 annually + bonus + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.
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
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- 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
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.