About the position
Inspire11 is seeking a talented Data Architect to provide insights and solutions to clients in order to meet the demands of their high-growth business. The Data Architect will demonstrate technical expertise in enterprise-level cloud data architecture, data visualization, and advanced analytic solutions. They will be responsible for defining conceptual, logical, and physical architectures for cloud-based data solutions, as well as designing end-to-end cloud data solutions. The Data Architect will also lead the technical design and solutioning of migrating on-premise legacy data solutions to cloud-based data platforms.
Responsibilities
- Demonstrate technical expertise in enterprise level cloud data architecture, data visualization and advance analytic solutions
- Define conceptual, logical, and physical architectures for cloud-based data solutions
- Design End-to-end cloud data solutions including Architecture, Infrastructure, Storage, Data Model, ETL/ELT, and Consumption
- Lead the technical design and solutioning of migrating on-premise legacy data solutions to cloud-based data platforms
- Define scope of technical implementation, translate requirements into design specs, and calculate/estimate TOC for proposed solution
- Define best practices, pros and cons, and frameworks for capabilities across the data and analytics landscape
- Define solution standards and best practices while providing hands-on oversight of technical delivery
- Work with the client and consulting team to help gather requirements and understand different processes as it relates to different parts of the business and where there is overlap
- Expected to be familiar with or expert in the following technologies:
- Cloud Platforms: AWS, Azure, Google Cloud Platform
- Database Platforms (DBaaS): Snowflake, RedShift, Azure SQL DW, Azure SQL DB
- Big Data: Azure Stream Analytics, Azure HDInsight, Amazon Elastic Map Reduce (EMR), AWS Athena, Apache Spark, Hadoop, Hive
- Traditional RDBMS: SQL Server, Oracle, MySQL, Postgres
- ETL/ELT: Databricks, SSIS, Azure Data Factory, Matillion, Alooma, Talend
- Data Visualization: Tableau, PowerBI, QlikView, Domo
- Advance Analytics: Python, R Studio, DataRobot, DataBricks MLflow, AWS Sagemaker, Azure Machine Learning Studio
- You have 8+ years of experience in Data Platforms, Data Warehousing and/or Business Intelligence
- You have successfully led the technical strategy, design, development and implementation of Enterprise Data Solutions
- You are versed in either the Kimball and/or Inmon methodologies
Requirements
- Demonstrated technical expertise in enterprise-level cloud data architecture, data visualization, and advanced analytic solutions
- Ability to define conceptual, logical, and physical architectures for cloud-based data solutions
- Experience in designing end-to-end cloud data solutions including architecture, infrastructure, storage, data model, ETL/ELT, and consumption
- Proficiency in leading the technical design and solutioning of migrating on-premise legacy data solutions to cloud-based data platforms
- Ability to define the scope of technical implementation, translate requirements into design specs, and calculate/estimate TOC for proposed solutions
- Knowledge of best practices, pros and cons, and frameworks for capabilities across the data and analytics landscape
- Ability to define solution standards and best practices while providing hands-on oversight of technical delivery
- Experience in gathering requirements and understanding different processes related to different parts of the business and where there is overlap
- Familiarity or expertise in cloud platforms such as AWS, Azure, Google Cloud Platform
- Familiarity or expertise in database platforms (DBaaS) such as Snowflake, RedShift, Azure SQL DW, Azure SQL DB
- Familiarity or expertise in big data technologies such as Azure Stream Analytics, Azure HDInsight, Amazon Elastic Map Reduce (EMR), AWS Athena, Apache Spark, Hadoop, Hive
- Familiarity or expertise in traditional RDBMS such as SQL Server, Oracle, MySQL, Postgres
- Familiarity or expertise in ETL/ELT tools such as Databricks, SSIS, Azure Data Factory, Matillion, Alooma, Talend
- Familiarity or expertise in data visualization tools such as Tableau, PowerBI, QlikView, Domo
- Familiarity or expertise in advanced analytics tools such as Python, R Studio, DataRobot, DataBricks MLflow, AWS Sagemaker, Azure Machine Learning Studio
- Minimum 8 years of experience in Data Platforms, Data Warehousing, and/or Business Intelligence
- Successful track record in leading the technical strategy, design, development, and implementation of Enterprise Data Solutions
- Familiarity with Kimball and/or Inmon methodologies
Benefits
- Technical expertise in enterprise level cloud data architecture, data visualization, and advanced analytic solutions
- Opportunity to define conceptual, logical, and physical architectures for cloud-based data solutions
- Design end-to-end cloud data solutions including architecture, infrastructure, storage, data model, ETL/ELT, and consumption
- Lead the technical design and solutioning of migrating on-premise legacy data solutions to cloud-based data platforms
- Define best practices, pros and cons, and frameworks for capabilities across the data and analytics landscape
- Define solution standards and best practices while providing hands-on oversight of technical delivery
- Opportunity to work with clients and consulting team to gather requirements and understand different processes
- Exposure to various cloud platforms and database platforms such as AWS, Azure, Google Cloud Platform, Snowflake, RedShift, Azure SQL DW, Azure SQL DB
- Experience with big data technologies such as Azure Stream Analytics, Azure HDInsight, Amazon Elastic Map Reduce (EMR), AWS Athena, Apache Spark, Hadoop, Hive
- Familiarity with traditional RDBMS platforms like SQL Server, Oracle, MySQL, Postgres
- Experience with ETL/ELT tools such as Databricks, SSIS, Azure Data Factory, Matillion, Alooma, Talend
- Proficiency in data visualization tools like Tableau, PowerBI, QlikView, Domo
- Knowledge of advanced analytics technologies including Python, R Studio, DataRobot, DataBricks MLflow, AWS Sagemaker, Azure Machine Learning Studio
- Opportunity to work in a collaborative and supportive environment that values growth, inclusion, diversity, transparency, and fun
- Ability to work on challenging problems and collaborate with intelligent, highly-motivated, and talented individuals
- Onsite work at Inspire11 or client location for in-person collaboration and relationship building
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101-250
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101-250
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Inspire11
Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for clients, employees, and communities.
Company Overview
Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for clients, employees, and communities.
Benefits
- 8+ years of experience in Data Platforms, Data Warehousing and/or Business Intelligence
- Strong communication skills, with the ability to present complex recommendations to high-level non-technical audiences
- Expertise in AWS, Azure, or GCP
- Experience leading technical strategy, design, development, and implementation of Enterprise Data Solutions
- Experience guiding, mentoring, and coaching project teammates
- Organized, detail-oriented, and able to manage multiple projects at the same time
- Comfortable working in fast-paced environments, wearing many hats, and having a general fear of being bored
- Willingness and ability to be onsite at Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships
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