Company Overview
Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients
from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through
end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and
design capabilities coupled with deep domain understanding. We combine services and products to maximize
business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science
& healthcare industries.
Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep
technology and domain experts, and global teams. Incedo University, our learning platform, provides ample
learning opportunities starting with a structured onboarding program and carrying throughout various stages of
your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible
career paths allow you to grow into a program manager, a technical architect or a domain expert based on your
skills and interests.
Our Mission is to enable our clients to maximize business impact from technology by
- Harnessing the transformational impact of emerging technologies
- Bridging the gap between business and technology
Role Description
Role Description:
- PNC is seeking an experienced Data Architect to help lead the design and implementation of next generation data platforms leveraging Object Storage and Apache Iceberg. This role will be responsible for architecting and executing large scale data migrations from traditional relational and analytical databases into modern lakehouse environments built on object storage and Iceberg catalogs. The ideal candidate will have hands on experience designing enterprise data architectures, migrating data from platforms such as Hadoop, Teradata, Oracle, and other database technologies into object storage platforms. The candidate must possess deep expertise in Apache Iceberg, metadata management, data modeling, ingestion frameworks, and large-scale migration strategies. Key Responsibilities 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. Have deep 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. Required Qualifications Bachelors 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
Technical Skills
Skills Requirements:
Guide the conversion of ETL workloads and legacy data integration processes into modern data engineering frameworks. Required Qualifications Bachelors 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
Nice-to-have skills
Qualifications
Qualifications
- 11-12 years of work experience in relevant field
- B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred
Company Value
We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.