Data Lead Prodapt - 3.8 Richardson, TX Job Details 1 day ago Qualifications Data integrity assurance Data model design Data quality checks Commercial use (data warehousing systems) Stakeholder engagement Cloud analytics services Databricks Data compliance Data Integration (Data management) Management Bachelor's degree in information technology Computer Science Software Engineering Data modeling projects IT transformation Infrastructure as Code (IaC) Implementing cloud migration projects Spark AWS Certification Software implementation Enterprise solutions implementation Managing data teams Technology security practices 8 years SQL Azure Synapse Analytics Technical solutions implementation Data Architecture Design (Architecture design skills) Analysis skills ETL process automation

Full Job Description Overview:

Prodapt is the largest and fastest-growing specialized player in the Connectedness industry, recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider across North America, Europe and Latin America. With its singular focus on the domain, Prodapt has built deep expertise in the most transformative technologies that connect our world. Prodapt is a trusted partner for enterprises across all layers of the Connectedness vertical. Prodapt designs, configures, and operates solutions across their digital landscape, network infrastructure, and business operations - and craft experiences that delight their customers. Today, Prodapt's clients connect 1.1 billion people and 5.4 billion devices, and are among the largest telecom, media, and internet firms in the world. Prodapt works with Google, Amazon, Verizon, Vodafone, Liberty Global, Liberty Latin America, Claro, Lumen, Windstream, Rogers, Telus, KPN, Virgin Media, British Telecom, Deutsche Telekom, Adtran, Samsung, and many more. A "Great Place To Work® Certified™" company, Prodapt employs over 6,000 technology and domain experts in 30+ countries across North America, Latin America, Europe, Africa, and Asia. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 30,000 people across 80+ locations globally. We are seeking an experienced Data Lead with strong expertise in AWS and Databricks to lead the design, development, and modernization of enterprise data platforms. The ideal candidate will have hands-on experience building scalable data solutions in AWS and leading technical teams through cloud-based data transformation initiatives. Experience with Microsoft Azure is highly desirable, as the organization is currently migrating its data platform from Azure to AWS.

Responsibilities:

Key Responsibilities Lead the design and implementation of modern data platforms using AWS and Databricks. Architect scalable, secure, and high-performance data pipelines. Drive cloud migration initiatives from Azure to AWS. Collaborate with business stakeholders, architects, and engineering teams to define data strategies. Mentor and guide data engineers while ensuring adherence to best practices. Optimize ETL/ELT processes, data models, and data lake architectures. Ensure data quality, governance, security, and performance across the platform. Support Agile delivery and participate in technical planning and solution design.

Requirements:

Required Skills 8+ years of experience in Data Engineering, Data Architecture, or related roles. Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related technical field. Strong hands-on experience with AWS data services. Extensive experience with Databricks, Apache Spark, and Delta Lake. Proficiency in SQL and Python. Experience designing and implementing enterprise-scale data pipelines. Strong understanding of data warehousing, data lakes, and modern data architectures. Excellent leadership, communication, and stakeholder management skills. Preferred Skills Experience with Microsoft Azure data services (ADF, Synapse, ADLS, etc.). Prior experience leading Azure-to-AWS migration projects. Knowledge of CI/CD, Infrastructure as Code (IaC), and DevOps practices. Experience with orchestration tools such as Apache Airflow or AWS Step Functions. AWS and/or Databricks certifications are a plus. Nice to Have Experience working in large enterprise environments. Knowledge of data governance, data security, and compliance best practices. Strong analytical, problem-solving, and decision-making skills.