Data Architect - Hybrid at Genesis10 in Cleveland, OH \ Phoenix, AZ \ Pittsburgh, PA \ Birmingham, AL \ Denver, CO \ Dallas, TX \

Job description

• Genesis10 is currently seeking a Data Architect for a hybrid contract-to-hire opportunity with a Major Financial Institution located in Cleveland, OH; Pittsburgh, PA; Dallas, TX; Phoenix, AZ; Denver, CO or Birmingham, AL.
• We are 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.

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

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
• 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

Skills

Required

• Data Architecture
• Data Migration
• Hadoop
• Teradata
• Cloud object storage
• Data lake/data lakehouse architectures
• Apache Iceberg
• Data modeling
• Table design
• Schema design and evolution
• Partitioning strategies
• Data ingestion and loading

Preferred

• Apache Iceberg on cloud object storage
• AWS S3
• Azure Data Lake Storage (ADLS)
• Google Cloud Storage (GCS)
• Spark
• PySpark
• Distributed data-processing technologies
• Databricks

Benefits

• For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:
• 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)
• For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.
• Pay range: $59.79 - $67.79 per hour