Data Architect - Hybrid

Genesis10•Cleveland, OH
•Hybrid

About The Position

Genesis10 is seeking a hands-on Data Architect to support a large-scale data modernization initiative involving the migration of data from Hadoop and Teradata environments into cloud-based object storage. This role will be an individual contributor responsible for helping design and execute the target data architecture, with a strong emphasis on data migration, table design, data loading, data integrity, and validation. The ideal candidate has experience with large-scale data migration implementations and understands the challenges of moving significant data volumes from legacy platforms into modern object-storage environments. Experience with Apache Iceberg is highly preferred.

Requirements

  • Strong experience as a Data Architect, Data Migration Architect, or Senior Data Engineer with significant architectural responsibilities
  • Demonstrated experience participating in or leading large-scale data migration implementations
  • Hands-on experience migrating large datasets from Hadoop and/or Teradata environments
  • Strong understanding of cloud object storage and modern data lake/data lakehouse architectures
  • Hands-on experience with Apache Iceberg is highly preferred
  • Strong understanding of: Data modeling and table design, Schema design and evolution, Partitioning strategies, Data ingestion and loading, Data transformation, Data validation and reconciliation, Large-scale data processing, and Data quality and integrity
  • Experience with common data formats such as Parquet, Avro, or ORC
  • Ability to troubleshoot issues involving large datasets, table structures, data loads, and performance
  • Strong SQL skills
  • Experience working directly with engineering teams to implement architectural designs
  • Ability to work as an individual contributor and be hands-on with the technical implementation

Nice To Haves

  • Experience implementing Apache Iceberg on cloud object storage
  • Experience with AWS S3, Azure Data Lake Storage (ADLS), or Google Cloud Storage (GCS)
  • Experience with Spark, PySpark, or other distributed data-processing technologies
  • Experience migrating Hadoop data to a modern lakehouse architecture
  • Experience migrating Teradata workloads/data to cloud-based platforms
  • Experience with technologies such as Databricks, Snowflake, Trino, AWS, Azure, or GCP
  • Experience with data governance, metadata, lineage, and data quality controls
  • Experience with large-scale enterprise or financial-services data environments

Responsibilities

  • Design and implement data migration solutions moving large datasets from Hadoop and Teradata into cloud object storage
  • Define and implement target table structures, schemas, partitioning strategies, and data layouts
  • Develop and/or oversee processes for loading large volumes of data into object storage while maintaining data integrity and performance
  • Implement and work with Apache Iceberg tables in an object-storage environment
  • Analyze existing Hadoop and Teradata data structures and determine how they should be represented in the target environment
  • Develop migration strategies for both historical and ongoing data
  • Perform data profiling, mapping, transformation, reconciliation, and validation as part of migration activities
  • Ensure data is loaded completely and accurately, with appropriate controls for data quality, completeness, consistency, and reconciliation
  • Identify and resolve issues related to schema evolution, partitioning, file formats, performance, and large-scale data movement
  • Work closely with data engineers and other technical teams to implement migration pipelines and troubleshoot migration issues
  • Help establish standards and patterns for moving additional datasets from legacy platforms to object storage
  • Document target data structures, migration processes, data mappings, and technical decisions
  • Participate throughout the implementation lifecycle, from architecture and design through migration, validation, and production implementation

Benefits

  • Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years.
  • The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
  • Access to an experienced, caring recruiting team (more than 7 years of experience, on average.)
  • Behavioral Health Platform
  • Medical, Dental, Vision
  • Health Savings Account
  • Voluntary Hospital Indemnity (Critical Illness & Accident)
  • Voluntary Term Life Insurance
  • 401K
  • Sick Pay (for applicable states/municipalities)
  • Commuter Benefits (Dallas, NYC, SF, and Illinois)
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