Senior Data Architect

hace 1 mes


Barcelona, Barcelona, España Lambda Executive A tiempo completo

We are seeking a Senior Data Architect to lead our data engineering efforts and drive a strong vision for how data engineering can proactively create a positive impact on the business.

As a Senior Data Architect, you will be responsible for providing leadership and management to a team of data engineers, managing processes and their flow of work. You will also act as a subject matter expert across different digital projects.

Key responsibilities include:

  • Providing leadership and management to a team of data engineers
  • Acting as a subject matter expert across different digital projects
  • Overseeing work with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers
  • Managing and scaling data pipelines from internal and external data sources to support new product launches and drive data quality across data products
  • Building and owning the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance
  • Responsible for implementing best practices around systems integration, security, performance and data management
  • Empowering the business by creating value through the increased adoption of data, data science and business intelligence landscape
  • Collaborating with internal clients (data science and product teams) to drive solutioning and POC discussions
  • Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners
  • Develop and optimize procedures to productionalize data science models
  • Define and manage SLA's for data products and processes running in production
  • Prototype new approaches and build solutions at scale
  • Create and audit reusable packages or libraries

Requirements include:

  • 6+ years of experience with software development, data engineering, or systems architecture
  • 6+ years of experience with Data Lake Infrastructure, Data Warehousing, and ETL / ELT pipelines
  • 6+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.
  • 4+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP)
  • Proven track record of leading, mentoring, hiring and scaling data teams

Experience in the following areas is also required:

  • Multi cloud services integration with on-premises technologies
  • Data profiling and data quality using tools like Apache Griffin, Deequ, and Great Expectations
  • MPP database technologies such as Redshift, Synapse or SnowFlake

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