Data Architect

Wise Skulls; Dallas (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Wise Skulls in Dallas, TX is seeking an experienced Data Architect to lead design and implementation of Apache Iceberg-based data platforms, focusing on large-scale migration and lakehouse modernization.

The role requires hands-on leadership, 5+ years in data architecture/engineering, and expertise in object storage, Iceberg catalogs, metadata management, and modern data platforms. Hybrid work model with onsite presence three days a week.

Qualifications

• 5+ years in Data Architecture, Data Engineering, or Data Platform Modernization.
• Hands-on experience with Apache Iceberg in enterprise environments.
• Experience migrating large-scale datasets to object storage/Iceberg.
• Strong understanding of Iceberg namespaces, partitioning, schema evolution, and data lifecycle management.

Responsibilities

• Define enterprise lakehouse architecture and migration strategies.
• Lead design and implementation of Iceberg-based data platforms at scale.
• Oversee data governance, security, lineage, and metadata management across platforms.

Skills

Apache Iceberg

Object Storage

Lakehouse architecture

Data modeling

ETL architecture

Data governance

Security & retention

Postgres

S3-compatible storage

Metadata management

Tools

Spark

Trino

Databricks

Snowflake

Teradata

PostgreSQL

Job description

We're looking for an experienced Data Architect to lead the design and implementation of next-generation data platforms using Object Storage and Apache Iceberg, with a strong focus on large-scale data migration and lakehouse modernization.

Work Mode: Hybrid – 3 days/week onsite

Experience: 5+ years in Data Architecture, Data Engineering, or Data Platform Modernization

Work Authorization: USC & GC Candidates Only

Key Skills:

• 2+ years hands-on experience with Apache Iceberg in enterprise environments
• Strong expertise in Object Storage, Iceberg catalogs, metadata management, and lakehouse architecture
• Experience migrating large-scale datasets from Hadoop, Teradata, Oracle, relational databases, and data warehouses to object storage/Iceberg
• Strong understanding of Iceberg namespaces, partitioning, schema evolution, and data lifecycle management
• Experience designing scalable batch, streaming, and near-real-time ingestion frameworks
• Strong data modeling experience across Bronze, Silver, and Gold lakehouse layers
• Experience with Spark, Trino, Databricks, Snowflake, Teradata, or similar compute/query engines
• Expertise in ETL architecture, data integration, and legacy workload modernization
• Strong understanding of data governance, security, lineage, metadata, retention, and compliance
• Experience with S3-compatible object storage / Pure Storage or similar platforms
• Understanding/experience with Postgres
• Strong knowledge of data access, query performance, and interoperability across modern data platforms

What We're Looking For:

A hands-on Data Architect who can define enterprise lakehouse architecture, develop migration strategies, modernize legacy data platforms, and lead the implementation of Apache Iceberg-based solutions at scale.