Data Platform Architect |

Full Time
United States
Posted 1 month ago

Equivalent of Manager, Senior Manager, Director

What you will do  

Are you an experienced data architect looking to apply your strategic mindset to help customers transform their analytics using the best modern tools and lead the technical delivery of large-scale infrastructure build projects?

Aimpoint Digital is a fast-growing and fully remote data and analytics consultancy. We partner with the most innovative software providers in the data engineering space to solve our clients’ toughest business problems. Our philosophy towards data engineering is a combination of utilizing cutting-edge tools and techniques while valuing the fundamental principles of our field. What sets us apart is our combination of strategic advice and delivery expertise. In this position, you will be a crucial member in shaping our customer’s analytics strategy. You will gain extensive technical knowledge of their current architecture and propose enhancements, from minor tactical modifications to full-scale rearchitecting of their data platform.

You will:

  • Assess existing analytics infrastructure and business processes and advise on best-in-class modern solutions for customers in a wide range of industries
  • Conduct comprehensive evaluations of tools, processes, and personnel to deliver informed recommendations, leveraging your expertise within the field of data analytics.
  • Manage and lead comprehensive end-to-end infrastructure builds as part of a project team, including implementing cloud data warehouses, data lakes, ETL/ELT pipelines and orchestration tools
  • Engage and lead multi-disciplinary teams, and become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
  • Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt, and write code in SQL, Python, and Spark
  • Maintain a thorough understanding of the complete analytics delivery cycle, including proficiency in the latest tools and trends
  • Contribute to external marketing activities including events and conferences, to position Aimpoint Digital as an expert in data platform architecture and a trusted advisor

Who you are 

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.

As a Strategic Data Platform Architect, you will be expected to own and manage your client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.

  • Degree-educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Strong written and verbal communication skills
  • Experience managing stakeholders and collaborating with customers
  • Experience designing and delivering large-scale enterprise data architecture projects focusing on the analytic layer, in particular cloud data warehousing and ETL/ELT
  • Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)
  • Experience working with ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.)
  • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes)
  • 5+ years working with relational databases and query languages
  • 5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • 5+ years data modelling (e.g., star schema, entity-relationship)
  • 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
  • Expertise in software engineering concepts and best practices and/or DevOps
  • Experience working with big data technologies (Spark, Hadoop)
  • Advanced certification in Snowflake or Databricks is desirable
  • Advanced certification in one or more cloud platforms (AWS, Azure, GCP) is desirable

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