Top 14 database manager Jobs in pittsburgh, pa

Data Platform Manager
eNGINE —Pittsburgh, PA
- $150,000 - $170,000 a year
- Full-time
- Hybrid work
- Background check
- Azure
- Computer Science
- Paid training
- Health insurance
Quick Apply
5d
Database Administrator Specialist
Eaton —Moon Township, PA
- $113,000 - $165,000 a year
- Background check
- Azure
- Writing skills
- Retirement plan
Oracle APPS Database Administrator
Eaton —Moon Township, PA
- $113,000 - $165,000 a year
- Background check
- Azure
- Writing skills
- Retirement plan
Senior SQL Database Administrator (DBA)
LTM —Moon Township, PA
- $105,000 - $110,000 a year
- Full-time
- Agile
- In-person
- Senior level
- Paid parental leave
- Paid holidays
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9d
Database Administrator
Pantherx Specialty LLC —Pittsburgh, PA
- Full-time
- Hybrid work
- Azure
- Computer Science
- 5 years
- Paid holidays
- Disability insurance
Quick Apply
Senior Oracle Database Administrator
Wabtec —Pittsburgh, PA
- $102,500 - $146,000 a year
- Full-time
- Research
- Office
- AWS
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SR. DATABASE ADMINISTRATOR
DVI Technologies —Allegheny County, PA
- Full-time
- Mid-level
- Travel
- IT
Strategic Account Manager-Data Center
CCI Systems, Inc. —Pittsburgh, PA
- $100,000 - $120,000 a year
- Full-time
- Clean driving record
- Up to 50% travel
- Mid-level
- Paid training
- Mileage reimbursement
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SQL Database Administrator Systems Analyst with SAP Basis required
Ideal Talent Partners —Pittsburgh, PA
- $110,000 - $125,000 a year
- Full-time
- Hybrid work
- Computer science
- 7 years
- Azure
- Relocation assistance
- Health insurance
Quick Apply
Sr. Database Administrator - Computing Services
Carnegie Mellon University —Pittsburgh, PA
- Full-time
- Background check
- Computer Science
- Office
- Commuter assistance
- Paid holidays
Data Center Manager
TensorWave —New Kensington, PA
- Full-time
- Background check
- HIPAA
- Supervising experience
- Health savings account
- Paid holidays
Sr. Product Manager, Audience & Data
Life Science Connect —Cranberry Township, PA
- $130,000 - $150,000 a year
- Full-time
- Product management
- Senior level
- Commercial
- Paid holidays
- Disability insurance
Quick Apply
Data Center Commissioning Manager
Appleton Finn —United States
- $120,000 - $200,000 a year
- Full-time
- Microsoft Excel
- Mid-level
- Business development
- Fuel card
- Health savings account
Quick Apply
9d

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database manager jobs near pittsburgh, pa

Data Platform Manager

eNGINE
Pittsburgh, PA

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Job Details

Full-time
$150,000 - $170,000 a year
5 days ago

Benefits

Paid training
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
401(k) matching
Life insurance

Qualifications

Commercial use (data warehousing systems)
Databricks
Data modeling
Azure
Application Architecture Design (Architecture design skill)
Spark
Managing IT teams
Team development
Cloud engineering team management
Azure Data Factory
Mentoring
Managing cloud database deployments
Python

Full Job Description

Data Platform Manager

Pittsburgh, PA – 3 days/week on-site

About eNGINE

eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE.

Position Overview

eNGINE is seeking a Data Platform Manager to lead the design, evolution, and optimization of a modern cloud-based data ecosystem built on Microsoft Azure and Databricks. This individual will serve as both a technical leader and hands-on contributor, driving enterprise data initiatives that support analytics, reporting, machine learning, and business intelligence across the organization.

This role combines architecture, engineering leadership, and platform ownership. The ideal candidate brings deep expertise in Databricks and Azure data services, along with a passion for building scalable solutions, mentoring technical teams, and delivering reliable data products that enable informed business decisions.

Working closely with senior leadership, this individual will help shape the organization's data strategy while ensuring the platform remains secure, performant, and ready to support future growth.

Responsibilities

Data Platform Leadership

Provide technical leadership and mentorship to a team of data engineers and platform specialists.
Establish engineering standards, development best practices, and code review processes.
Partner with business stakeholders, analysts, and data science teams to translate business requirements into scalable technical solutions.
Support production operations by helping resolve data platform incidents and identifying opportunities for continuous improvement.

Cloud Data Engineering

Design and deliver enterprise-grade data pipelines within Azure Databricks and the broader Azure ecosystem.
Build efficient data ingestion frameworks capable of processing both batch and real-time data sources.
Develop scalable ELT/ETL solutions that ensure data quality, availability, and consistency across multiple systems.
Enable seamless integration of data originating from APIs, databases, event streams, and third-party platforms.

Data Architecture & Lakehouse Strategy

Define and maintain a Lakehouse architecture leveraging Delta Lake and Databricks best practices.
Implement and optimize Bronze, Silver, and Gold data layers to support analytics and operational workloads.
Develop logical and physical data models that support reporting, advanced analytics, and future scalability.
Drive architectural decisions around storage, partitioning, performance, and long-term maintainability.

Platform Performance & Optimization

Continuously improve Spark workloads, Databricks clusters, and query performance to maximize efficiency and reduce cloud spend.
Identify opportunities for workload optimization through partitioning, indexing strategies, and execution plan analysis.
Monitor platform health, scalability, and reliability while implementing proactive performance improvements.
Establish governance around cluster configuration, auto-scaling policies, and resource utilization.

Governance, Security & Compliance

Implement enterprise-grade data governance utilizing Unity Catalog and Azure-native security services.
Ensure appropriate role-based access controls, data lineage tracking, and data protection measures are in place.
Promote data quality through validation frameworks, monitoring processes, and standardized governance practices.
Collaborate with security and compliance teams to align data management practices with organizational requirements.

Advanced Analytics & Machine Learning Enablement

Partner with data scientists to operationalize machine learning solutions and deploy models into production environments.
Support MLOps initiatives using modern tooling and automation practices.
Deliver data products that empower business intelligence, predictive analytics, and data-driven decision making.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
5+ years of experience designing and building enterprise data platforms in cloud environments.
2+ years of hands-on experience with Azure Databricks and large-scale Spark-based data processing.
Previous experience leading, mentoring, or managing data engineering teams.
Strong understanding of modern data architecture patterns, including Lakehouse, Data Mesh, and Master Data Management concepts.
Demonstrated ability to work directly with business stakeholders and translate business needs into technical solutions.

Technical Expertise

Azure & Cloud Services

Experience with:

Azure Databricks
Azure Data Factory (ADF)
Azure Data Lake Storage (ADLS Gen2)
Azure SQL Database
Azure Synapse Analytics
Azure Networking (VNETs)
Azure Key Vault
Azure Identity and Access Management

Programming & Development

Strong hands-on experience with:

Python (PySpark)
SQL
Scala
PowerShell
Java

Data Engineering & Big Data

Experience building and supporting solutions utilizing:

Apache Spark
Apache Kafka
Airflow
dbt
MLflow
Distributed data processing frameworks
Batch and streaming data architectures

Databases & Storage

Knowledge of:

Databricks
SQL Server
Teradata
BigQuery
Relational and NoSQL database technologies
Parquet, Avro, and ORC file formats
Data compression and storage optimization techniques

Preferred Certifications

Microsoft Certified: Azure Data Engineer Associate (DP-203)
Databricks Certified Data Engineer Professional
Microsoft Certified: Azure Solutions Architect Expert

Next Steps

No C2C, relocation, referral, or sponsorship candidates for this role.

For finer details on how eNGINE can impact your career, apply today!

Pay: $150,000.00 - $170,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance

Work Location: Hybrid remote in Pittsburgh, PA 15229

Quick Apply

Refine Your Search

database manager jobs in pittsburgh, pa

Data Platform Manager

Database Administrator Specialist

Oracle APPS Database Administrator

Senior SQL Database Administrator (DBA)

Database Administrator

Senior Oracle Database Administrator

SR. DATABASE ADMINISTRATOR

Strategic Account Manager-Data Center

SQL Database Administrator Systems Analyst with SAP Basis required

Sr. Database Administrator - Computing Services

Data Center Manager

Sr. Product Manager, Audience & Data

Data Center Commissioning Manager

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