Technical Architect

Tata Consultancy Services Ltd

  • Cleveland, OH
  • 4 days ago
  • $120,000–$140,000 Per Year

Highlights

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. Must Have Technical/Functional Skills: Seeking an experienced Data Architect to help lead the design and implementation of next generation data platforms leveraging Object Storage and Apache Iceberg.

Numbers & Facts

LocationCleveland, OH
Salary$120,000–$140,000 Per Year

Description

Role: Technical Architect

Required Skills: Data architect

Qualification: BACHELOR OF COMPUTER SCIENCE

Experience: 6 - 15 Years

Function: TECHNOLOGY

Apply By: 2027-01-05

Skill: Data Architect

Must Have Technical/Functional Skills:

  • 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:

  • Demonstrated experience in Data Architecture, Data Engineering, or Data Platform modernization, with the depth of experience required to design and lead enterprise-scale data solutions.
  • 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.

Salary Range - $120,000-$140,000 a year

TCS Employee Benefits Summary:

  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance , Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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