Data Solutions Architect

Spaulding Ridge

$100K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in business intelligence and analytic solutions
  • 5+ years of experience writing business requirements and user stories, especially for data initiatives
  • 5+ years of SQL development with a focus on advanced analytic functions
  • 3+ years of consulting experience on project-based delivery using SDLC
  • 4+ years of experience with relational databases including Snowflake and Azure
  • 3+ years of experience in testing and user acceptance procedures
  • 3+ years of experience in Agile/Kanban/DevOps environments

Responsibilities

  • Manage the full data engineering lifecycle from research to deployment
  • Collaborate with team members to create client-focused technology solutions
  • Build proof of concepts for modern analytics stacks for client engagements
  • Implement ETL/ELT technologies like Azure Data Factory and Apache NiFi
  • Utilize analytic tools such as Power BI and Tableau to drive insights
  • Work with cloud data repositories across various platforms like AWS and GCP
  • Oversee junior team members, providing guidance and talent development

Benefits

  • Opportunity for professional development in a dynamic team environment
  • Engagement with cutting-edge cloud technologies and analytics solutions
  • Chance to develop strong relationships with key clients and stakeholders
  • Opportunities to travel and engage in hands-on project delivery
  • Flexible working arrangements to support work-life balance
Full Job Description
Data Solutions Architect

We are looking for a Data Solutions Architect to join our Data Solutions team!

As a Data Solutions Architect, you'll be responsible for pre-sales, estimation, scoping, designing, implementing, and testing proposed modern analytic solutions. Working closely with our client partners, you'll develop relationships with key technical resources while delivering tangible business outcomes.

Ideal candidates will be able to:
  • Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance
  • Ability to collaborate with team members to design and implement technology that aligns with client business objectives
  • Ability to build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients
  • Experience working with ETL/ELT technologies such as Azure Data Factory, Fivetran, Snowflake OpenFlow, Apache NiFi and other similar ETL/ELT tools
  • Experience working with analytic technologies such as Power BI, Tableau, Sigma, Omni, Looker and other similar analytic tools
  • Experience working with cloud enabled data repositories such as Snowflake, Amazon Web Services, Microsoft Azure, and/or Google Cloud Platform.
  • Team management experience and ability to manage, mentor and develop talent of assigned junior resources
  • Ability to create actionable recommendations based on identified platform, structural and/or logic problems
  • Ability to communicate and demonstrate a clear understanding of client business needs, goals, and objectives
  • Ability to collaborate with other practices on Solution Proposals, Pre-Sales Activities, Estimation, Scoping and Solutions

Qualifications:
  • 5+ years' experience developing industry -leading business intelligence and analytic solutions
  • 5+ years of experience writing Business requirements, Use cases and/or user stories, preferably for data warehouse or data mart initiatives
  • 5+ years of SQL development including advanced analytic functions
  • 3+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)
  • 4+ years of experience with relational databases (Postgres, SQL Server, Oracle, Snowflake, and Azure Synapse Analytics, etc.)
  • 3+ years of experience creating functional test cases and supporting user acceptance testing
  • 3+ years of experience in Agile/Kanban/DevOps Delivery
  • Outstanding analytical, communication, and interpersonal skills
  • Ability to manage projects and teams against planned work
  • Responsible for managing the day-to-day client relationship on projects
  • Ability to support sales cycles by leading orals sessions along with building POC solutions for clients
  • Ability to travel

Preferred Skills:
  • SnowPro certification
  • 5+ years experience developing in Snowflake, AWS, Azure, GCP or similar cloud data platform
  • 3+ years of experience with modern tech stack tools such as Jenkins, Kafka, Messaging, Kubernetes
  • Solid understanding of data architecture, data modeling, statistics, data science and data infrastructure ecosystems

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