As a Senior Data Engineer with NTT DATA you will lead the design and implementation of cutting edge data architectures for our Nashville clients.
Key Responsibilities:
• Design and implement tailored data solutions with a strong emphasis on Snowflake, addressing diverse customer needs such as streaming, data lakes, and analytics within a dynamically evolving technical stack.
• Provide thought leadership by recommending the most appropriate Snowflake-centric technologies and solutions for a given use case, covering everything from application layers to infrastructure.
• Demonstrate advanced coding skills in Python, Java, or Scala to build, deploy, and optimize data solutions that prioritize performance, security, scalability, and robust data integrations.
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• Seamlessly collaborate across technical ecosystems, including Snowflake, Cloudera, Databricks, and AWS, ensuring high-quality data architecture and execution.
• Develop and deliver detailed presentations to effectively communicate complex technical solutions.
• Generate comprehensive solution documentation, including data flow diagrams, logical system views, and sequence diagrams, to support implementation and maintenance.
• Adhere to Agile practices throughout the solution development lifecycle to deliver iterative and customer-focused outcomes.
• Design, build, and deploy scalable Snowflake databases and data architectures that meet evolving organizational requirements.
Basic Qualifications:
• 8+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects, with a more recent focus on Snowflake solutions.
• 6+ years of experience leading teams on data-related projects, delivering end-to-end technical solutions in a consulting environment.
• Ability to work onsite in Nashville, TN.
Preferred Skills:
- Demonstrate production experience in core data platforms such as Snowflake, Databricks, AWS, Azure, GCP, Hadoop, and more.
- Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS, S3, ADLS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.
- Exhibit a strong understanding of Data integration technologies, encompassing Spark, Kafka, eventing/streaming, Streamsets, NiFi, AWS Data Migration Services, Azure DataFactory, Google DataProc.
- Showcase professional written and verbal communication skills to effectively convey complex technical concepts.
- Undergraduate or Graduate degree preferred
Nearest Major Market: Nashville
Job Segment: Cloud, Consulting, Developer, Java, Database, Technology