Data Platform Architect @ Aimpoint Digital | Jobright.ai
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Aimpoint Digital · 2 days ago

Data Platform Architect

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Responsibilities

Assess existing analytics infrastructure and business processes to advise on modern solutions for customers in various industries
Conduct evaluations of tools, processes, and personnel to provide informed recommendations within data analytics
Manage and lead end-to-end infrastructure builds, implementing cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration tools
Engage and lead multi-disciplinary teams, and act as a trusted advisor collaborating with clients from data owners to C-level executives
Utilize modern tools like Snowflake, Databricks, Fivetran, and dbt, and code in SQL, Python, and Spark
Maintain expertise in the latest analytics tools and trends, contributing to external marketing activities to position Aimpoint Digital as an expert in data platform architecture

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ArchitectureStakeholder ManagementCloud Data WarehousingETL/ELTSnowflakeGoogle BigQueryAWS RedshiftMicrosoft SynapseFivetranDbtMatillionInformaticaTalendAWSAzureGCPDockerKubernetesRelational DatabasesQuery LanguagesData PipelinesData ModellingPythonScalaJavaSoftware EngineeringDevOpsBig Data TechnologiesSparkHadoop

Required

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 cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.)
Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes)
Ability to manage an individual workstream independently and ability to manage a full project team
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)

Preferred

Advanced certification in Snowflake or Databricks is desirable
Advanced certification in one or more cloud platforms (AWS, Azure, GCP) is desirable

Company

Aimpoint Digital

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Aimpoint Digital Provides expertise needed to take analytics at your organization to the next level.
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