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Job Title:- Enterprise Data Architect

Location:- Atlanta, Georgia

Client:- Norfolk Southern

C2c

Job Description:-

:Must be Atlanta based - Remote but will need to go into the Downtown Atlanta office for meetings

Job Description:

We are seeking an Enterprise Data Architect to lead an organization-wide data strategy on a newly formed team. This lead architect will be responsible for data architecture including coordinating with business and functional areas to establish and communicate our data fabric framework and tools.

The Enterprise Data Architect serves as a point of contact for data architecture and will work closely with business and functional areas. Together we will establish a new data fabric that will help create a common view of data and provide a centralized mechanism for its aggregation, cleansing, transformation, augmentation, validation, and syndication.

Education

• B.A./B.S. degree or equivalent work experience in computer science, information technology, business administration, engineering, or another relevant field

Responsibilities:

• Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state
• Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps
• Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met
• Motivating and developing staff through teaching, empowering, and influencing technical and consulting "soft" skills
• Collaborating with client stakeholders and development staff to ensure data architecture recommendations maximize the value of client data across the organization
• Driving innovative technology solutions through thought leadership on emerging trends
• Sharing project solutions and outcomes with colleagues to improve delivery on future projects

Skills:

Required:

• 5+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies
• Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python
• Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks
• Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture
• Ability to assess traditional and modern data architectural components based on business needs

Familiarity with recommending data governance best practices including MDM, security, privacy and policies