BI Data Solutions Architect - Linthicum, United States - Breakthru Beverage Group

Mark Lane

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Mark Lane

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Description

Overview:


Breakthru Beverage Group is looking for a self-motivated, energetic, detail oriented and a team player to join the Enterprise Data & Analytics Platforms team.

As a Data Solution Architect, you will lead BBG's full-stack Business Intelligence solution to enable our data architecture strategy. This includes data modeling, data storage, performance metrics, visualization tools, metadata, data quality and data governance objectives. This role will drive our modernization efforts to ensure our data flows, processing, and reporting are accurate and insightful.

The Data Solution Architect will mentor team members, work closely with senior leadership, product management, architects, and developers to design, build, and deploy data warehouse solutions and reporting tools that meet the growing analytical needs of our organization.


Responsibilities:


  • Perform, Design & Develop Enterprise Solutions
  • Lead BBG's entire Business Intelligence solution that enables our data architecture strategy, including data design, modeling, storage, performance metrics, visualization tools, metadata, data quality, and data governance objectives.
  • Drive BBG's modernization efforts to ensure our data flows, processing, and reporting are accurate, insightful, and dependable.
  • Collaborate with internal teams to implement new designs and solutions.
  • Drive Data Modernization & Improve Governance.
  • Partner with crossfunctional senior leadership, product management, architects, and developers to design, build, and deploy data warehouse solutions and reporting tools that meet the growing analytical needs of our organization.
  • Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
  • Ensure that the BI and Analytics team adheres to data standards, data governance policies and practices, and add/make recommendations regarding these standards as the need arises.
  • Develop and enforce data engineering, security, data quality standards through automation.
  • Optimize Data Models & Improve Reporting Platforms
  • Create improved sales and customer service strategies using appropriate predictive modeling.
  • Monitor cloud cost/TCO and continuously improve cloud spend efficiency.
  • Improve Insights to Address Critical Business Questions
  • Collaborate and incorporate new trends and developments in current and future solutions as well as selfservice solutions.
  • Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
  • Create improved sales and customer service strategies using appropriate predictive modeling.
  • Work closely with data analysts and business stakeholders to make this data easily accessible and understandable.
  • Mentor and Collaborate
  • Provided mentorship and guidance to the data engineering team, fostering a culture of technical excellence and innovation.
  • Improve data quality by implementing reusable data quality frameworks and build the process and tools to create and maintain Machine Learning pipelines
  • Maintains Professional & Technical Knowledge
  • Other duties, as assigned by the jobholder's supervisor, may also be required.

Qualifications:

  • Bachelor's degree in computer science, information systems, or information technology, or equivalent work experience.
  • Minimum 7 years of IT experience, with 5 years mentoring and leading technical team members to create solutions
  • 10 years of experience building and scaling data platforms (Snowflake, Azure, or other enterprise class data platform)
  • Expert skill and documented experience using SQL, T-SQL and or PL/SQL
  • Strong programming skills in languages such as Python, R, and Java and/or other programming languages and libraries for data science
  • Indepth knowledge of Data Ingestion, semantic layer, data modeling, replication, ETL processes, and data workflow optimization. Experience with automation and scheduling tools.
  • Extensive experience with modern business intelligence/reporting tools
  • Proficient PC skills using MS Office and other various computer programs including presentation software.
  • Ability to multitask, work independently and/or within a team, pay attention to detail and meet deadlines.
  • Utilize sound judgement, business acumen and problemsolving skills and ability to work in fastpaced, highvolume, team environment.

Preferred Qualifications:


  • Experience using cloud based ETL/ELT tools to migrate data.
  • Data science or predictive analysis experience
  • Proficiency in enterprise query visualization tools

Physical Requirements:


  • While performing the duties of this job, the employee is regularly required to, stand, sit; talk, hear, and use hands and fingers to operate a computer and telephone.

Competencies:


  • May help coordinate the work of junior members of the team.
  • Resolves issues which are often varied and nonroutine. Undertakes analysis and investigation to solve is

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