Senior Database Administrator

We are seeking a highly skilled and proactive Senior Database Administrator to join our

team. This hybrid role blends traditional DBA responsibilities with modern data

engineering tasks to support our Comparative data loads and ensure optimal

performance of critical database systems. You’ll play a key role in scaling our data

infrastructure, diagnosing performance bottlenecks, and contributing to architectural

improvements.

Key Responsibilities:

• Data Architecture & Scalability o Redesign and improve JSON blob storage

strategies that have reached scalability limits. o Evaluate and optimize complex

data structures spanning five core applications.

• Performance Tuning & Optimization o Analyze and resolve performance issues

across PostgreSQL, MSSQL, and Snowflake environments.

• Refactor inefficient queries and recommend index strategies or schema

redesigns.

• Support and tune Amazon RDS PostgreSQL deployments for high availability and

performance.

• Data Engineering Support o Contribute to the design and maintenance of ETL

pipelines that support Comparative data loads.

• Collaborate with data engineering teams on pipeline orchestration,

transformation, and delivery.

Database Administration

• Ensure high availability, backups, and disaster recovery across database

platforms.

• Monitor and manage database health, security, and compliance.

GIS/Spatial Data (Helpful)

• Leverage experience with postGIS and/or spatialite to enhance location based

features where applicable.

Technical Environment:

• Databases: PostgreSQL (Amazon RDS), MSSQL, Snowflake

• Data Engineering & Orchestration: Apache Spark, dbt, Airflow, SSIS

• Cloud & Infrastructure: AWS (including Infrastructure as Code practices)

Preferred Qualifications:

• 6+ years of experience in database administration and performance tuning.

• Proficiency with JSON data modeling and optimization.

• Strong SQL expertise with proven ability to refactor complex queriesHands-on .

• experience with Amazon RDS, particularly PostgreSQL.

• Familiarity with Apache Spark for distributed data processing.

• Familiarity with dbt for data modeling and transformations.

• Familiarity with Apache Airflow.

• Familiarity with MonetDB.

• Exposure to AWS Infrastructure as Code (IaC) using tools like CloudFormation or

Terraform.

• (Nice-to-have) Experience working with spatial data formats (postGIS/spatialite)

• Strong collaboration skills and ability to work in a cross-functional, agile

environment