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Senior Data Engineer - Vice President

https://www.citi.com/ Logo

Citi

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Location:
United States , Irving

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Contract Type:
Employment contract

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Salary:

125760.00 - 188640.00 USD / Year

Job Description:

Citi is seeking a highly skilled and experienced Senior Data Engineer to join our dynamic and innovative technology team. The ideal candidate will have a robust background in data engineering, with deep expertise in a variety of modern data technologies and a proven track record of working on large-scale data projects. This role will be pivotal in designing, building, and optimizing our data infrastructure on cloud platforms, and will also provide exposure to cutting-edge Artificial Intelligence projects, including Retrieval-Augmented Generation (RAG) and Agentic AI systems. The candidate must be proficient in Agile methodologies and possess strong leadership and client-facing skills to guide projects to successful completion while balancing stakeholder needs and organizational goals.

Job Responsibility:

  • Design, build, and maintain scalable ETL/ELT pipelines using PySpark, Spark SQL, and Delta Lake on Databricks
  • Implement and manage data solutions on cloud platforms
  • Work extensively with big data frameworks and platforms such as Databricks, Snowflake, and open table formats like Apache Iceberg
  • Optimize Spark workloads and Databricks clusters
  • Implement and manage Lakehouse architecture using Delta Lake
  • Lead the design and architecture of Starburst-based data solutions
  • Implement and manage data federation strategies using Starburst connectors
  • Identify and resolve performance bottlenecks in data pipelines and queries
  • Develop and optimize robust data pipelines with a strong focus on data governance
  • Design and implement data models that support business intelligence, analytics, and machine learning use cases
  • Partner with data scientists and AI specialists to support the development and deployment of AI models
  • Operate effectively within an Agile development environment
  • Provide technical leadership to steer the project in the right direction
  • Serve as a key point of contact for stakeholders and clients

Requirements:

  • Expert-level proficiency with Python and its data ecosystem (e.g., Pandas, NumPy, Dask). Extensive hands-on experience with the Spark framework, including deep knowledge of the DataFrame API, Spark SQL, and performance tuning techniques for distributed data processing
  • Proven experience developing on the Databricks Lakehouse Platform, including proficiency with Delta Lake, structured streaming, and optimizing Spark jobs within the Databricks environment
  • Strong, practical experience with the Ab Initio suite of products (GDE, Co>Operating System, Conduct>It) for designing and implementing enterprise-grade ETL workflows
  • Hands-on experience designing, building, and maintaining data warehouses in Snowflake
  • Experience using federated query engines like Starburst/Trino
  • Familiarity or experience with open table formats like Apache Iceberg for managing large analytic datasets
  • In-depth knowledge and multi-year experience with at least one major cloud provider (AWS, Google Cloud Platform, or Azure)
  • Practical experience building and managing data pipelines using cloud-native services such as AWS Glue, Lambda, S3, Redshift
  • Azure Data Factory, Synapse Analytics
  • or Google Cloud Composer, Dataflow, and BigQuery
  • A solid understanding of the data lifecycle required for machine learning projects
  • Experience in building data pipelines to support AI/ML models
  • Deep familiarity with Agile and Scrum methodologies
  • Demonstrated ability to provide technical leadership, influence architectural decisions, and steer projects towards successful outcomes
  • Exceptional communication and interpersonal skills, with proven proficiency in client interaction
  • 6-10 years of hands-on experience in data engineering, preferably within a large-scale enterprise or financial services environment
  • Demonstrable experience leading project work streams and mentoring junior team members
  • Bachelor's degree/University degree or equivalent experience

Nice to have:

  • Relevant industry certifications (e.g., AWS Certified Big Data, Google Professional Data Engineer, Snowflake SnowPro)
  • Experience with containerization technologies like Docker and orchestration tools like Kubernetes
  • Deep understanding of data governance, data quality, and data security principles
  • Excellent analytical and problem-solving skills with the ability to work independently or as part of a team
  • Experience as Applications Development Manager
  • Experience as senior level in an Applications Development role
  • Stakeholder and people management experience
  • Demonstrated leadership skills
  • Proven project management skills
  • Basic knowledge of industry practices and standards
What we offer:
  • Medical, dental & vision coverage
  • 401(k)
  • Life, accident, and disability insurance
  • Wellness programs
  • Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
  • Discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
May 14, 2026

Expiration:
May 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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