Data Architect

EXL

. Lead the architecture, design, and implementation of enterprise data platforms utilizing Object Storage and Apache Iceberg .

Posted 11/11/2026full-timePittsburgh • Pennsylvania • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Architecture and Engineering, with a strong focus on implementing Apache Iceberg and Object Storage solutions. Proficient in data migration strategies, data modeling, and ensuring compliance with data governance and security standards.

Highest-signal resume keywords

Apache Iceberg ImplementationData Migration StrategiesObject Storage TechnologiesData Governance and ComplianceETL Architecture Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData EngineeringData ModelingPartitioning StrategiesSchema EvolutionPerformance OptimizationMetadata ManagementETL ArchitecturesData Lifecycle ManagementData Ingestion Frameworks

Tools & Technologies

Apache IcebergObject StorageSparkTrinoDatabricksSnowflakeTeradataPostgres

Industry Keywords

Data PlatformsLakehouse ArchitectureData GovernanceRegulatory ComplianceData Lineage

Tech Stack

Tools & technologies

ApacheETLHadoopPostgresSnowflakeSpark

About the role

Key responsibilities & impact

Lead the architecture, design, and implementation of enterprise data platforms utilizing Object Storage and Apache Iceberg
Develop migration strategies and execution plans for moving data from relational databases, data warehouses, and Hadoop ecosystems into Iceberg based architectures
Design scalable ingestion frameworks to support batch, streaming, and near real-time data loads into object storage
Develop understanding of Iceberg catalog structures, namespaces, partitioning strategies, schema evolution, and data lifecycle management
Establish best practices for security, metadata management, retention, and regulatory compliance
Collaborate with application teams, data engineers, DBAs, and platform teams to assess migration readiness and modernize legacy workloads
Optimize data models supporting Bronze, Silver, and Gold data layers within a lakehouse architecture
Evaluate and implement solutions for data access, query performance, and interoperability across compute engines such as Spark, Trino, Databricks, Snowflake, Teradata, or similar technologies
Guide the conversion of ETL workloads and legacy data integration processes into modern data engineering frameworks

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
5+ years of experience in Data Architecture, Data Engineering, or Data Platform modernization
2+ years of hands-on experience implementing Apache Iceberg in enterprise environments
Demonstrated experience migrating large scale datasets from traditional databases and data warehouses into object storage and lakehouse architectures
Strong understanding of Object Storage technologies (S3-compatible platforms, Pure storage etc.)
Experience implementing and managing Iceberg catalogs
Expertise in data modeling, partitioning strategies, schema evolution, metadata management, and performance optimization
Experience designing and implementing enterprise ETL architectures
Strong understanding of data governance, security, lineage, and compliance requirements
Understanding/Experience with Postgres database