Senior Data Architect

ITTConnect is seeking a Senior Data Architect to work for a client in the Atlanta area. This is a position with a global leader in consulting, digital transformation, technology and engineering services present in over 50 countries. This person will be initially working in one of their established accounts in the telecommunications area (internet, cable TV & cellular service provider).

Job location: Hybrid, two days in the office in Sandy Springs, and three days at home on average.

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.

Hands on Expertise:

You must 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.

QUALIFICATIONS:

Experience:

12+ years of overall IT experience

Experience working for large IT Outsourcing / Management Consulting firms

Demonstrated attention to quality and accuracy

Strong leadership and motivation abilities

Skills:

Spark

Python

Analytical products offered as a service

Hive

SQL

Data integration

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 from a major institution.

Certifications:

AWS, GCP, Azure.

CDMP, MDM, DBA, SQL, SAP, TOGAF, API, CISSP, or VCP.