Sr Data Architect

Sr Data Architect
Newnan, Georgia-Onsite
Long Term

Job Description: Sr Systems Architect Data Architect

Job Description & Requirements:- Designing and creating data models to effectively store and retrieve information.

- Developing and implementing the overall data infrastructure, including data warehousing and analytics systems.

- Establishing and enforcing data standards, policies, and procedures to ensure data quality and integrity.- Identify list of Data Items for conversion

- Identify Data attributes (fields) for each item- Create/Update data templates- Create/Update data load steps-

Implementing and managing data security measures to protect sensitive information- Designing integrations between different data sources to create a unified view of data

- Work with other teams, including development, business, and data engineering to align data infrastructure and business needs- Ensure adherence to data governance principles and standards

- Managing and organizing metadata to improve data discoverability and usability- Leading, Planning and executing data migrations to new systems or platforms

- Monitoring and optimizing the performance of data systems and infrastructure

Skill and Experience Requirements:-

Bachelor's or Master's degree in Computer Science, Data Science, or a related field or equivalent work experience

- Proven experience as a Data Architect, Data Engineer, or similar role (5+ years)

- Expertise in SQL, NoSQL, and cloud-based databases (e.g., AWS, Azure, Google Cloud).- Strong knowledge of ETL processes, data warehousing, and big data technologies.

- Familiarity with data visualization tools (e.g., Tableau, Power BI).

- Excellent problem-solving and communication skills.- Experience leading a team of 3 or more direct reports

- Familiarity with ETL tools and ELT frameworks for data transformation and loading- Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.

Proficiency in SQL, Python, and potentially other languages like Java or Scala.

- Experience with various database systems, including relational databases (SQL), NoSQL databases, and data warehousing solutions.

- Understanding of data warehousing concepts, technologies, and best practices.- Ability to design and implement data models to support business needs.

- Understanding of data governance principles and security best practices.- Knowledge of software engineering principles, such as design patterns, version control, and testing methodologies.

- Excellent troubleshooting, analysis and problem-solving skills

- Ability to effectively prioritize and escalate issues as required-

Excellent written and verbal communication skills

- Detailed, organized, and results-oriented- Ability to multi-task and perform effectively under pressure- Ability to work effectively in a fast paced, high energy, team-oriented environment.

- Strong communication skills- Client facing

Preferred Qualifications:- Salesforce certifications - Salesforce Certified Data Architect, Salesforce Administrator).

- Understanding of Manufacturing and/or Supply Chain Business processes is preferred but not required- Certifications in Data Architecture, Cloud Computing, or Database Management.- Experience with big data technologies and AI-driven data solutions.- Knowledge of data privacy regulations (e.g., GDPR, CCPA).

Best Regards,
Praveen