Senior Data Architect
2 weeks ago
Senior Data Architect
to work for a client in the Atlanta area. This is a position with a client that is a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. The end client is in the telecommunications space (internet, cable TV, cellular provider).
Job location: Hybrid, at least two days in the office in Sandy Springs, GA and three days at home .As a
Senior Data Architect
in the telecommunications domain, your role is pivotal in shaping how telecom companies manage and utilize their data. Here are some key responsibilities and qualifications for this position:
Technical Leadership:Provide thought leadership on High-Level Architecture and Design, data modeling, and Big Data strategy, both to peers and to key stakeholders in the Client.
Collaborate with the Application Development team to analyze, identify, design, and implement data sourcing processes.
Define technical principles, vision, and standards for data warehouses.
High level presentation and influencing skills to convey strategy and roadmaps for the Clients.
Technical Expertise:You should have worked extensively with technologies such as AWS, Python, Snowflake, Hadoop, Hive, Spark, HBase, and more.
Familiarity with any Telecom Domain models would be an asset.
Champion and implement analytics data.
Data Modeling and Architecture:Design and build robust, high-performance, and adaptable data solutions optimized for modern platforms (Big Data, Relational, No-SQL, OLAP).
Translate business user requirements into technical solutions.
Generate Data Definition Language (DDL) scripts from data modeling tools.
Lead the architecture, design, and development of business intelligence platforms.
Requirements
Education:A relevant degree such as Bachelor’s or College Degree in Computer Science, Engineering, Technical, Mathematics, Information Technology, Information Systems, Business, Education, or Computer Engineering.
Certifications:AWS, GCP, Azure.
CDMP, MDM, DBA, SQL, SAP, TOGAF, API, CISSP, or VCP.
Skills:Spark
Python
Analytical products offered as a service
Hive
SQL
Understanding of marketing metrics
Data integration
Industry trends
Experience:Demonstrated attention to quality and accuracy.
Strong leadership and motivation abilities.
Benefits TBD.
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