Query Optimization Performance Tuning ELT Data Platform Administrator
Remote · USContract$82.64/hrSeen todaySeen in employer's feed today
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Job overview
The DBA 4 role designs and maintains automated ELT pipelines, tunes cloud data platforms, and builds data models and architecture for a Lakehouse environment. It also covers data migration, business intelligence, governance, metadata cataloging, lineage, and data quality. The position includes mentoring peers or lower-level staff. The posting describes the position as remote for candidates in Ohio only and lists a seven-month duration.
Skills & qualifications
Skills
Qualifications
Full job description
Query Optimization Performance Tuning ELT Data Platform Administrator
(Jobs in
Requirement id 159520
Job title Administrator
Job location in Colombus, OH
Skills required Designing And Implementing, Data Warehouse, Sql Skills, Query Optimization Performance Tuning EL
Open Date 09-Nov-2026
Close Date
Job type Contract
Duration 7 Months
Compensation DOE
Status requirement ---
Job interview type ---
Email Recruiter:coolsoft
Job Description Administrator: Designing And Implementing, Data Warehouse, Sql Skills, Query Optimization Performance Tuning EL
Start date : 12/07/2026
End Date : 06/30/2027
Submission deadline : 11/12/2026
Client Info : JFS
Note:
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Remote Position - candidates in Ohio only
-
Interviews will be remote
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Remote/ Onsite/
-
Hybrid Remote
Description:
Job Title: DBA 4 (Senior Data Platform Architect & Governance Specialist)
Location Franklin County
Remote/ Onsite/
Hybrid Remote
Travel Required Yes –Meetings as needed
Paid Parking
Required No
Number of Positions 1
Rate: $82.64
Years of Relevant
Experience:
Preferred Education: Bachelors Degree in Data Analytics, Computer Science, Information Technology, Computer Engineering, or a closely related field.
Job Description: Key Responsibilities: 1. ELT Pipeline Engineering & Automation. a. Pipeline Orchestration: Designs and maintains programmatic, automated ELT pipelines (i.e. SQL, Python, or modern cloud data tools) to process data incrementally through the Medallion stages. b. Performance Tuning: Conducts query and cluster tuning for modern cloud data platforms, ensuring highly optimized compute usage during heavy data transformations and processing. c. Data Migration Execution: Writes robust code to safely migrate legacy databases and files into automated Lakehouse ingestion pipelines. 2. Advanced Data Modeling & Cloud Data Architecture. a. Lakehouse Strategy: Works with IT Architecture staff to design and implement a scalable, secure Medallion Data Architecture across cloud environments. b. Layer Optimization: Establishes standards, schemas, and file formats (i.e. Iceberg, Parquet) for ingestion and data lake processing. c. Analytical Modeling: Designs highly efficient physical and logical data structures within the Gold layer, including modern dimensions, facts, and business entity schemas. d. Schema Evolution: Builds resilient data models capable of handling semi-structured data (JSON, API payloads) alongside structured data, maintaining robust version control of data contracts. e. Semantic Layer Design: Transforms complex business reporting requirements into user-friendly semantic layers that support self-service business intelligence. 3. Develop and document standards/best practices. a. Creates documentation of pipelines, architecture, modeling, and migration efforts. 4. Data migrations, business process monitoring. a. Designs standards for the exchange of data between systems, including data security models 5. Reporting business intelligence. a. Understands business intelligence data needs. b. Defines the data warehouse/business intelligence design.
c. Implements data warehouses and data marts. d. Implements business intelligence tools and user interfaces. e. Implements enterprise reporting. f. Implements management dashboards and scorecards. g. Implements analytic applications. h. Replicates and transforms data for business intelligence. 6. Modern Data Governance, Metadata Management & Cataloging a. Metadata Integration: Manages and curates the Alation Data Catalog, ensuring all tables, schemas, and views across the Bronze, Silver, and Gold layers are thoroughly indexed, classified, and tagged. b. Lakehouse Data Lineage: Maps and monitors complex, end-to-end data lineage from source applications down to Gold-layer reporting assets within Alation. c. Data Quality Frameworks: Designs programmatic data validation and testing protocols at the boundary between the Bronze and Silver layers to enforce strict enterprise data stewardship. 7. Mentoring. a. Plans and conducts formal mentorship activities for peers and/or lower-level staff via verbal instruction or technical documentation.
Mandatory skills •5+ years of hands-on experience designing and implementing enterprise data warehouse, data lake, or Lakehouse solutions • Expert-level SQL skill
Call502-379-4456 Ext 100for more details. Please provide Requirement id: 159520 while calling.
EOE Protected Veterans/Disability
How this job compares
Set against the 711 open Database Administrator jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$82.64/hr
- US median$50–60/hr49 hourly ranges
This rate, $82.64/hr, is 50% above the US median midpoint ($55/hr) — in the top quarter of Database Administrator hourly ranges across the US.
- Openings
- Olive Jobs lists 23 open Database Administrator jobs in Ohio and 711 across the US. 13% of them nationwide are listed as remote or flexible.
- Hiring the most in Ohio
- Sherwin-Williams3 open
- COOLSOFT (this employer)2 open
- TEKsystems2 open
- Experience
- This posting asks for at least 5 years of experience; Database Administrator postings that state a minimum ask for 5 years at the median (567 postings).
- Education
- 173 of the 711 open Database Administrator jobs (24%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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