Data Solution Architect Undefined

Our client, a leader in beverage retail 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 a 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 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 modernization efforts to ensure our data flows, processing, and reporting are accurate, insightful, and dependable.

• Apply new ways to help make our data platform more scalable, resilient, and reliable.

• Collaborate with internal teams to implement new designs and solutions.

• Drive Data Modernization & Improve Governance.

• Partner with cross-functional 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

• Identify opportunities to improve team efficiencies and apply best practices.

• 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 self-service 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 re-usable 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

• In-depth 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 multi-task, work independently and/or within a team, pay attention to detail and meet deadlines.

• Utilize sound judgement, business acumen and problem-solving skills and ability to work in fast-paced, high-volume, 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

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