What are the responsibilities and job description for the Database Architect position at Amtex Enterprises?
Job Details
Job Title: Database Architect
Location: On-Site Mon-Fri 8am -5pm PST-- Westlake Village, CA 91361
Duration: 12 months
Job Description:
The Cloud Database Architect will:
- 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 PostgreSQLenvironments, 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.
Qualifications:
- Bachelor’s degree in computer science, or a related field. Master's degree preferred.
- 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.
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