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Lead Data Engineer/Data Architect

hace 2 semanas

Ciudad de México, Ciudad de México Global Applications Solution A tiempo completo

Position: Lead/Principal Data Engineer/Data Architect

Client Domain: Banking Institution

Work Structure

  • Initial Phase:
    Mandatory 3 weeks on-site in
    Mexico City (Santa Fe)
    for essential client immersion and team onboarding.
  • Ongoing:
    Following the initial phase, the role transitions to
    fully remote
    .
  • Note on Expenses:
    The client
    will not
    cover travel, lodging, or living expenses for the initial 3-week on-site period.

About the Opportunity

We are seeking a highly skilled and experienced Data professional for a challenging and impactful role, which may be scoped as a
Lead Data Engineer
,
Principal Data Engineer
, or
Data Architect
, depending on experience and expertise.

You will be instrumental in designing, building, and optimizing cutting-edge data platforms and pipelines for our major banking client. This is a chance to define the future of data architecture in a high-stakes, high-volume environment.

Key Responsibilities

  • Architecture & Design:
    Lead the design and implementation of modern data architectures (Data Lakes, Lakehouses, Data Hubs) on major cloud platforms.
  • Pipeline Development:
    Develop robust, scalable, and high-performance data pipelines for ingestion, transformation, and consumption, utilizing both batch and streaming techniques.
  • Technical Leadership:
    Drive best practices in data governance, data quality, security, and observability across all data products.
  • Performance Optimization:
    Tune and debug complex Spark jobs and data flows to ensure optimal performance and cost efficiency.
  • DevOps & Automation:
    Implement and maintain robust DevOps practices, including CI/CD pipelines for data infrastructure and application deployment.

Preferred Qualifications

Data Architecture & Cloud

  • Cloud Environments:
    Deep, hands-on experience developing and deploying production data systems on major cloud platforms (
    AWS, GCP, Azure
    ).
  • Data Architecture:
    Proven track record building modern data architectures, including Data Lakes, Data Lakehouses, and Data Hubs.
  • Data Governance & Observability:
    Strong background in defining and implementing data governance, modeling, and observability capabilities.

Data Engineering Depth

  • Data Ingestion & Storage:
  • Proficiency with data collection/ingestion tools (
    Kafka, AWS Glue
    ).
  • Expertise in working with modern storage formats (
    Iceberg, Parquet
    ).
  • Data Streaming:
    Experience developing data pipelines using streaming architectures and tools (
    Kafka, Flink
    ).
  • Data Modeling & Transformation:
  • Expertise in data transformation and modeling using
    SQL-based frameworks
    and orchestration tools (
    dbt, AWS Glue, Airflow
    ).
  • Deep experience with advanced modeling concepts like
    Slowly Changing Dimensions (SCD)
    and
    schema evolution
    .
  • Spark & Performance:
    Strong background in using
    Spark
    for large-scale data transformation, including streaming, advanced performance tuning, and debugging with
    Spark UI
    .

Core Skills

  • Programming:
    Advanced programming skills in
    Python, Java, Scala
    , or similar languages.
  • SQL:
    Expert-level proficiency in
    SQL
    for complex data manipulation, query optimization, and performance analysis.
  • DevOps:
    Demonstrated experience in DevOps practices, including
    code management (Git)
    ,
    CI/CD
    , and robust deployment strategies.
  • Data Governance:
    Solid understanding of data governance principles, focusing on data quality, privacy, and security considerations relevant to the banking sector.
If you are a visionary Data Architect or a highly skilled Lead/Principal Data Engineer looking to make a significant impact in the FinTech space, we encourage you to apply by sharing

#DataEngineer #DataArchitect #PrincipalEngineer #DataLake #Spark #Kafka #AWS #GCP #Azure #DataGovernance #MexicoCity #RemoteJobs