Data Analytics Architect
3 days ago
Title: Data Analytics Systems Architect
Location: Richmond, VA 23219 Hybrid
Duration: 12 Month’s
Job Description
We are seeking a highly skilled and experienced Data Analytics Systems Architect to join our team. The ideal candidate will have a strong background in data modeling, extensive experience with various databases and technologies, and a deep understanding of data analytics terminology and best practices.
Key Responsibilities:
- Accountability and responsibility for data analytics and data science architecture.
- Accountability for the technical quality and viability of a data analytics solutions
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Develop and maintain effective working relationships with both customer management and IT personnel, design effective IT solutions for business problems or strategies
- Designs effective Data Analytical solutions for business problems or strategies.
- Design and implement data models to support analytics and reporting needs.
- Conducts design and code reviews, to ensure technical quality, alignment with business unit and enterprise architecture, and adherence to established standards and guidelines.
- Develop and maintain data architecture and data integration solutions.
- Work with different databases and technologies, including Snowflake, Hadoop and MPP technologies.
- Establishes and implements data governance policies, security and integrity controls, protecting data assets and meeting business and regulatory requirements.
- Lead technology modernization initiatives to improve data infrastructure and capabilities.
- Stay up to date with the latest trends and best practices in data analytics and data management.
Qualifications:
- Minimum 5 years working experience as Data Analytics Architect
- Minimum 10 years working experience in Data Analytics
- Proven experience in data warehouse data modeling and data architecture.
- Extensive experience with databases and technologies such as Snowflake and Hadoop.
- Strong understanding of data analytics terminology and best practices.
- Excellent problem-solving skills and attention to detail.
- Ability to work effectively in a team environment and communicate complex technical concepts to non-technical stakeholders.
- Bachelor’s degree in computer science, Information Technology, or a related field. Advanced degree preferred.
- In-depth knowledge of data governance and data security best practices.
- Experience in implementing and managing data governance frameworks and data security measures.
- Experience with ETL tools and processes.
- Experience with Data Science, Machine Learning platforms including but not limited to R, Python and other technologies.
- Excellent communication and interpersonal skills.
Required Skills:
- Experience with AI, ML, and Gen AI technologies.
- Cloud certification, such as AWS, Azure, or Google Cloud
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