Data Architect - Technology Architecture

About the role

The Data Architect will partner with cross-functional teams to define strategy, develop standards, and implement data technologies. This role is a high impact, hands-on position in enabling data solutions.

Responsibilities

• Develop and deliver long-term strategic goals for enterprise-wide data architectural vision and standards across a diverse organization
• Responsible for the architecture and design of unstructured and structured big data analytic and processing platforms
• Research existing and new features of databases and data store technologies to develop implementation strategies to support modern workloads
• Design strategies and set standards for corporate Business Intelligence (BI) reporting, analysis, and tools management
• Create and maintain conceptual, logical, and physical data models along with corresponding metadata
• Create and maintain the standards, guidelines, and best practices for data modeling and database design
• Collaborate with business users and Enterprise Data Warehouse (EDW) team members to define the future strategy and direction for data warehousing, business intelligence, and analytic reporting for the enterprise
• Collaborate with teams in the enterprise to realize more value out of analytics by identifying gaps and opportunities, recommending changes, and improvements to help achieve information goals
• Collaborate with teams to promote data governance and the use of centralized metrics and definitions
• Provide domain training, mentoring and knowledge transfer to the I/S department and business users
• Work with IT teams to ensure quality and compliance with Enterprise Data Architecture by participating in data analysis/design activities

Requirements

• Bachelor’s degree in computer science or a related analytical field or equivalent experience
• 8+ years of experience leading the design and development of enterprise class applications and solutions
• 8+ years’ experience with relational database management systems (SQL Server, Oracle, DB2, etc.)
• 5+ years of hands-on experience in a large enterprise data warehouse environment
• 4+ years’ experience as a Data Architect in a large enterprise data warehouse environment
• 4+ years of hands-on relational and dimensional data modeling experience in a large enterprise environment
• 4+ years’ experience implementing solutions using an enterprise data warehouse platform such as Teradata, Snowflake, or equivalent technology
• 4+ years’ experience with 2 or more BI tools (Tableau, Power BI, QLikview, Greenplum, etc.)
• 2+ years’ experience with big data technologies such as Apache Spark (or Databricks), Hadoop or equivalent technology
• 2+ years’ experience implementing data solutions in the public cloud (Azure, AWS, or GCP)
• Formal experience eliciting requirements from business users and working with technical teams to develop comprehensive solutions
• Technical proficiency with BI best practices, specifically data visualization, dashboards, business metrics, KPIs, reports, queries, search, predictive analytics, and master data management

Qualifications

• Strong understanding of data warehouse methodologies and concepts, including star schemas, snowflakes, ETL processes, dimensional modeling, and BI reporting tools
• Hands-on experience building large-scale data pipelines using tools such as Apache Airflow, Azure Data Factory, or other equivalent technology
• Experience with the Power BI & Power Platform suite of Business Intelligence tools
• Strong understanding of the Snowflake cloud data platform
• Hands-on experience with the Microsoft suite of Business Intelligence tools including Power BI
• Hands-on experience with NoSQL technologies such as Cassandra, CouchDB, MongoDB
• Hands-on experience with big data solutions such as Databricks or Apache Spark, HBase and/or Hadoop eco-system (MapReduce, Pig, Hive, Sqoop) including data collection, storage, transformation, and analysis
• Snowflake and/or other data related certifications
• Hands-on experience using message streaming technologies such as Apache Kafka, Apache Flink, or other equivalent technology
• Hands-on experience with related/complementary Big Data open-source software platforms and languages (e.g. Java, Scala, Apache, Perl/Python/PHP, etc.)

Benefits

• Year End Bonus: One month’s extra pay (pro-rated in the first year) each year if associate remains employed through issue date of the bonus check that year.

Pay

• Potential Annual Pay with Bonus: Commensurate with experience

Schedule

• Hybrid (Lakeland, FL)
• Work Model: Enjoy the best of both worlds—collaborate in person and innovate remotely.