Keylent

Job Details

Skills

Data Architect – Enterprise Data Platforms
Apache Cassandra
Amazon DynamoDB
Clustering
Data Integration
Data Storage
Concurrent Computing
Data Governance
Data Masking
Disaster Recovery
Encryption
OLAP
PostgreSQL
Oracle
Oracle HCM
RBAC
RDBMS
Remote Desktop Services
Amazon RDS
Amazon Redshift
MySQL
Microsoft SQL Server
NoSQL
Query Optimization
Real-time
ODS
OLTP
OCP
DevOps
Enterprise Architecture
Artificial Intelligence
Database
Cloud Computing

Data Architect – Enterprise Data Platforms
Apache Cassandra
Amazon DynamoDB
Clustering
Data Integration
Data Storage
Concurrent Computing
Data Governance
Data Masking
Disaster Recovery
Encryption
OLAP
PostgreSQL
Oracle
Oracle HCM
RBAC
RDBMS
Remote Desktop Services
Amazon RDS
Amazon Redshift
MySQL
Microsoft SQL Server
NoSQL
Query Optimization
Real-time
ODS
OLTP
OCP
DevOps
Enterprise Architecture
Artificial Intelligence
Database
Cloud Computing

Summary

Data Architect – Enterprise Data Platforms- In person Interview-Reading, PA

Summary Statement

As a senior member of the Data organization, the Data Architect is responsible for designing, optimizing, and governing enterprise-wide database platforms supporting transactional, operational, and analytical workloads.

This role focuses on building high-performance, scalable, secure, and resilient database ecosystems across on-premises and cloud environments. You will serve as the database subject matter expert (SME), driving architecture standards, guiding engineering teams, and ensuring optimal data storage, access, and performance strategies across the enterprise.

Key Responsibilities

Database Architecture & Strategy

Define and maintain the enterprise database strategy and roadmap
Design database solutions across:
- Transactional systems (OLTP) – high-performance, ACID-compliant systems
- Operational systems (ODS) – integrated, near-real-time data layers
- Analytical systems (OLAP / Data Warehouses / Lakehouse platforms)
Establish and enforce database standards, design patterns, and best practices
Ensure alignment of database strategy with enterprise architecture and business objectives

Platform Design & Engineering

Architect and implement highly scalable, reliable, and performant database platforms
Evaluate and select appropriate database technologies:
- Relational (RDBMS) – Oracle 19c, Oracle 26ai, SQL Server, PostgreSQL
- NoSQL – MongoDB, Cassandra, DynamoDB, etc.
Design for high availability, disaster recovery, replication, and failover
Ensure optimal database configurations for performance tuning and workload management

Performance Optimization & Reliability

Lead database performance tuning, query optimization, and indexing strategies
Monitor and improve system throughput, latency, and concurrency handling
Define strategies for:
- Capacity planning
- Workload balancing
- Resource optimization
Implement observability frameworks for proactive monitoring and alerting

Data Integration & Ecosystem Enablement

Collaborate with Data Architects and Engineers to support data integration, pipelines, and ETL/ELT processes
Optimize database design to support:
- Streaming data ingestion
- Real-time and batch processing
Enable seamless integration between database systems, applications, and analytics platforms
Support modernization initiatives such as cloud migration and platform consolidation

Cloud & Hybrid Database Architecture

Design and implement cloud-native and hybrid database solutions (preferably AWS)
Lead database migration strategies:
- On-prem → cloud
- Cloud → hybrid architectures
Evaluate managed services (e.g., RDS, Aurora, Redshift, DynamoDB)
Ensure cost optimization and performance efficiency in cloud database deployments

Data Security & Governance

Define and enforce database security standards
Implement:
- Role-based access control (RBAC)
- Encryption (at rest and in transit)
- Data masking and auditing
Ensure compliance with regulatory and organizational data governance policies
Partner with security and governance teams to ensure secure data access frameworks

Standards, Governance & Best Practices

Establish database development guidelines including:
- Naming standards
- Version control practices
- Deployment automation
Define and enforce data integrity, consistency, and quality standards
Lead database review boards and ensure adherence to architectural standards

Program Leadership & Delivery

Act as the primary database architect for critical enterprise programs
Provide architectural guidance across the software development lifecycle
Ensure database solutions are delivered on time, within budget, and at high quality
Resolve complex database-related issues and risks proactively

People Leadership & Mentorship

Mentor database engineers, developers, and data engineers on best practices
Provide leadership in database design reviews and performance optimization
Drive a culture of engineering excellence, automation, and continuous improvement
Support team development through coaching and knowledge sharing

Technical Qualifications

Experience

12–15+ years of overall IT experience
10+ years of hands-on experience in:
- Database architecture and administration
- Data modeling and database design
5+ years designing enterprise-scale database solutions across cloud and on-prem environments
Experience working in Agile and DevOps environments

Database & Platform Expertise

Deep expertise in:
- Relational databases (Oracle 19c, Oracle 26ai, OCP, Oracle HCM, SQL Server, PostgreSQL, MySQL)
- NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.)
Experience with:
- Data partitioning, clustering, sharding
- Replication and high-availability architectures

Performance & Optimization

Strong experience with:
- Query optimization
- Indexing strategies
- Execution plan analysis
Expertise in performance tuning and database troubleshooting

Cloud & Modern Data Platforms

Experience with cloud platforms (AWS preferred):
- RDS, Aurora, Redshift, DynamoDB, Snowflake, Cosmos
Knowledge of hybrid and distributed database architecture
Familiarity with data lakehouse integration and modern data platformsb

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10423210A
Position Id: 9031052
Posted 13 hours ago

Company Info

About Keylent

We established Keylent to provide the Key Talent that our clients seek. We are all about People. About Passion. Professional and Process driven.

We have been involved with the industry for over 2 decades and have seen the up's and down's. We have weathered bad times and enjoyed good times by putting our client needs ahead of ours. We continue to do the same thing.

We take great care of our Talent Acquisition and Administrative staff who in turn put in their best work to fulfill our Consultant and Client needs.

Our Clients and our Consultants have a variety of choices and we are thankful that they have chosen Keylent.

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Anusha Boora

Recruiter @ Keylent

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Reading, Pennsylvania

•

4d ago

Hi All, Good Morning, We have an urgent position for the below mentioned requirement. Title: Data Architect Enterprise Data Platforms Location Reading, PA Duration: 6 Months Summary Statement: As a senior member of the Data organization, the Data Architect is responsible for designing, optimizing, and governing enterprise-wide database platforms supporting transactional, operational, and analytical workloads. This role focuses on building high-performance, scalable, secure, and resilient data

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Sr Data Architect and Data Engineer_Reading, PA F2F interview

Reading, Pennsylvania

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22d ago

Sr Data Architect and Data Engineer - Reading, PA - Onsite - CTH; In-person interview is a MUST. Experience with Talend, Kafka, PySpark, Python, EMR. Glue, Athena, Flink, APIs, Microservices, Data Pipelines , Data Streams, Data warehouse, Data Lake, Lakehouse , Data Modeling, OnPrem and OnCloud

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Data Architect – Enterprise Data Platforms- In person Interview-Reading, PA

Summary Statement

Key Responsibilities

Database Architecture & Strategy

Platform Design & Engineering

Performance Optimization & Reliability

Data Integration & Ecosystem Enablement

Cloud & Hybrid Database Architecture

Data Security & Governance

Standards, Governance & Best Practices

Program Leadership & Delivery

People Leadership & Mentorship

Technical Qualifications

Experience

Database & Platform Expertise

Performance & Optimization

Cloud & Modern Data Platforms

Data Architect – Enterprise Data Platforms-Reading, PA-Onsite-Inperson Interview is mondatory

Keylent

Job Details

Skills

Summary

Data Architect – Enterprise Data Platforms- In person Interview-Reading, PA

Summary Statement

Key Responsibilities

Database Architecture & Strategy

Platform Design & Engineering

Performance Optimization & Reliability

Data Integration & Ecosystem Enablement

Cloud & Hybrid Database Architecture

Data Security & Governance

Standards, Governance & Best Practices

Program Leadership & Delivery

People Leadership & Mentorship

Technical Qualifications

Experience

Database & Platform Expertise

Performance & Optimization

Cloud & Modern Data Platforms

Company Info

About Keylent

Dice Job Match Score™

Anusha Boora

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