Cloud Data Architect (AWS, Snowflake, Informatica)

  • nfolks,
  • Austin, TX
  • 1 day ago
Cloud Data Architect, AWS, Snowflake, EC2, Lambda, Redshift, kafka, hadoop, Spark, python, informatica
Contract W2, Contract Independent, Contract Corp-To-Corp, 12 Months
Depends on Experience
Work from home available

Job Description



Cloud Data Architect (AWS, Snowflake, Batch ETL tool)

Remote and after covid Austin TX

Long Term


Job Summary:

As part of Data Engineering team, you will be architecting and delivering highly scalable, high performance data integration and transformation platforms. The solutions you will work on will include cloud, hybrid and legacy environments that will require a broad and deep stack of data engineering skills. You will be using core cloud data warehouse tools, hadoop, spark, events streaming platforms and other data management related technologies. You will also engage in requirements and solution concept development, requiring strong analytic and communication skills.



  • Function as the solution lead for architecting and building the data pipelines to support the development / enablement of Information Supply Chains within our client organizations – this could include building (1) data provisioning frameworks, (2) data integration into data warehouse, data marts and other analytical repositories (3) integration of analytical results into operational systems, (4) development of data lakes and other data archival stores, (5) development of structures to support real time analytics and ML/AI
  • Optimally leverage the data integration tool components for developing efficient solutions for data management, data storage, data wrangling, data packaging and integration. Develop overall design and determine division of labor across various architectural components
  • Deploy and customize Standard Architecture components
  • Mentor client personnel. Train clients on the Daman Integration Methodology and related supplemental solutions
  • Assist in development of task plans including schedule and effort estimation


Skills and Qualifications:

  • Bachelor’s Degree or foreign equivalent in Computer Science, Electrical Engineering, Mathematics, Computer Applications, Information Systems or Engineering is required
  • Experience building high-performance, and scalable distributed systems
  • 1+ year experience with Snowflake database
  • AWS cloud experience (EC2, S3, Lambda, EMR, RDS, Redshift)
  • Experience in ETL and ELT workflow management
  • Familiarity with AWS Data and Analytics technologies such as Glue, Athena, Spectrum, Data Pipeline
  • Experience building internal cloud to cloud integrations is ideal
  • Experience with streaming related technologies ex Spark streaming or other message brokers like Kafka is required.
  • 3+ years of Data Management Experience
  • 3+ years of batch ETL tool experience (Informatica)
  • 3+ years’ experience developing, deploying and supporting scalable and high-performance data pipelines (leveraging distributed, data movement technologies and approaches, including but not limited to ETL and streaming ingestion and processing)
  • 2+ years’ experience with Hadoop Ecosystem (HDFS/S3, Hive, Spark)
  • 2+ years’ experience in a software engineering, leveraging Java, Python, Scala, etc.
  • 2+ years’ advanced distributed schema and SQL development skills including partitioning for performance of ingestion and consumption patterns
  • 2+ years’ experience with distributed NoSQL databases (Apache Cassandra, Graph databases, Document Store databases)



HR Manager

nFolks Data Solutions LLC 


Email: arun(AT)

Dice Id : 90833520
Position Id : 7139556
Originally Posted : 1 month ago
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