Database Architect jobs in United States
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Jobs via Dice · 1 day ago

Database Architect

Jobs via Dice is seeking a Database Architect to design and implement cloud-native data platforms leveraging AWS services. The role involves defining modern data architecture blueprints and architecting event streaming solutions, while providing technical guidance and mentorship to team members.

Computer Software

Responsibilities

Design and implement cloud-native data platforms leveraging AWS services, including data warehouses (Redshift, Snowflake) and lakehouses (Databricks, Delta Lake, Apache Iceberg)
Define modern data architecture blueprints, incorporating multi-model strategies (SQL, NoSQL, streaming, unstructured) to support enterprise-scale analytics and applications
Architect and deliver event streaming solutions using platforms such as Kafka, Kinesis, enabling real-time ingestion, enrichment, and downstream processing
Architect, manage, and optimize SQL Server on AWS (RDS & EC2) with automation around high availability, disaster recovery, backup, and scaling
Lead and execute SQL Server to PostgreSQL migration initiatives, ensuring minimal disruption, optimized performance, and cost-efficiency
Implement advanced performance tuning, indexing, and workload management strategies across relational data platforms
Architect and implement data replication and masking strategies using Delphix, with a strong emphasis on automated provisioning and configuration
Provide replication, masking, and virtualization support for Microsoft SQL Server and PostgreSQL environments, ensuring security, compliance, and efficiency in non-production environments
Implement Infrastructure-as-Code (IaC) practices using Terraform, OpenTofu, or AWS CDK for provisioning and managing data platforms
Establish DataOps practices, including CI/CD for data pipelines, automated schema management, continuous testing, and monitoring
Proactively identify opportunities for automation across database operations, including provisioning, patching, backups, monitoring, and performance tuning — with a strong focus on automating infrastructure deployment using Terraform or OpenTofu and automating performance analysis and optimization across all database types
Build automation frameworks for provisioning, patching, performance optimization, HA/DR, compliance, and security operations
Continuously monitor, analyze, and optimize performance across SQL, NoSQL, data warehouses, lakehouses, and streaming platforms
Implement security best practices, including encryption, masking, key management, RBAC, and compliance with industry regulations
Utilize observability tools (CloudWatch, OTEL, New Relic, or similar) to provide end-to-end monitoring, alerting, and self-healing automation
Partner with engineering, InfoSec, and DevOps teams to design scalable, automated, cloud-native data solutions
Define and publish standards, patterns, and reusable templates for enterprise data platforms
Provide technical guidance and mentorship to other team members, promoting a culture of automation and best practices for managing diverse database environments, including Microsoft SQL Server, PostgreSQL, DynamoDB, and various NoSQL databases, with a strong emphasis on writing and optimizing efficient queries/data access patterns

Qualification

AWS RedshiftSQL ServerPostgreSQLTerraformEvent StreamingData WarehousesData LakesNoSQLCI/CDPythonPowerShellCloud SecurityObservability ToolsAnalytical SkillsCommunication Skills

Required

Bachelor's degree in computer science, or a related field
Minimum of 5 years of experience as a Database Architect or in a similar role with 3+ years in cloud-native data platforms
Minimum of 5 years of experience with Microsoft SQL Server, including database design, administration, performance tuning, and high availability solutions, with a strong focus on automation and expert-level query optimization skills
Proven experience with cloud-native data warehouses and lakehouses: AWS Redshift, Snowflake, Databricks, Delta Lake, Apache Iceberg
Strong expertise in event streaming platforms (Kafka, Kinesis, or MSK) for real-time pipelines
Hands-on experience with NoSQL platforms such as DynamoDB, MongoDB, or Cassandra
Deep expertise in SQL Server on AWS, including high availability, automation, migrations, and performance tuning
Experience implementing Delphix-based replication, masking, and provisioning strategies across SQL Server and PostgreSQL
Strong background in Python, PowerShell, AWS CLI, or equivalent programming languages for automation
Proven hands-on experience with IaC tools (Terraform, OpenTofu, AWS CDK) for cloud data infrastructure provisioning
Demonstrated success implementing CI/CD pipelines for database and data workloads using GitLab CI, Jenkins, or AWS CodePipeline
Expert in query optimization, indexing, and schema design across SQL and NoSQL
Solid understanding of cloud data security, governance, and compliance practices
Experience with observability and monitoring frameworks to ensure resilient, self-healing data systems
Strong analytical and problem-solving skills
Excellent written and verbal communication, able to influence senior stakeholders and mentor peers
Ability to thrive in a fast-paced, collaborative, and highly visible environment
Significant experience with PostgreSQL, including database design, administration, performance tuning, high availability, and replication, with a deep understanding of PostgreSQL-specific query optimization techniques

Preferred

Master's degree preferred

Company

Jobs via Dice

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Funding

Current Stage
Early Stage
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