Lead Database Administrator/Analyst (DBS) — Database Admin

TheCorporate LLC; New York (NY); Hybrid; USD 100,000 - 140,000; Part time

Job summary

TheCorporate LLC seeks a Lead Database Administrator/Analyst to manage enterprise databases and lead data-driven initiatives in a hybrid on-site role at a Columbia, MD location. You will oversee ETL, data warehousing, BI, and data lake enablement, while refining fraud analytics and predictive models.

Ideal candidates bring 3–5 years of DBA or data analytics experience, with certifications such as MCDBA, Oracle OCP, AWS DB Specialty, or Azure DB Administrator, and strong SQL/ETL tool proficiency.

Qualifications

• 3–5 years DBA or data analytics experience.
• Certifications (MCDBA, Oracle OCP, AWS Database Specialty, Azure Database Administrator) or equivalent.
• Strong experience in SQL, PL/SQL, DB2, Oracle, ETL/BI tools, Hadoop, PostgreSQL, and modern analytics stacks.
• Skilled in cloud data platforms, predictive modeling tools, fraud detection systems.

Responsibilities

• Manages enterprise databases (z/OS, UNIX, Linux, Windows, cloud).
• Oversee ETL, data warehousing, BI environments, data lake enablement, predictive modeling, fraud analytics, advanced analytical workflows.
• Implements data governance, data quality frameworks, security controls, compliance measures.
• Conducts complex modeling, feature engineering, historical data analysis, operational metrics development, fraud-detection algorithm refinement.
• Supports SSA anti-fraud missions (anomaly identification, risk modeling, real-time transaction screening, integrity reviews).

Skills

SQL & PL/SQL

Fraud analytics

Predictive modeling

Data governance

Data warehousing

Tools

DB2

Oracle

ETL/BI tools

Hadoop

PostgreSQL

Cloud platforms

Job description

Job Title: Lead Database Administrator/Analyst (DBS) --- Database Admin

Location: Columbia, MD hybrid 3 days on site

Duration: Long term

Interview Mode: Phone then Video

Core Duties

• Manages enterprise databases (z/OS, UNIX, Linux, Windows, cloud); design, architecture, tuning, maintenance, indexing, recovery, optimization.
• Oversee ETL, data warehousing, BI environments, data lake enablement, predictive modeling, fraud analytics, advanced analytical workflows.
• Implements data governance, data quality frameworks, security controls, compliance measures.
• Conducts complex modeling, feature engineering, historical data analysis, operational metrics development, fraud-detection algorithm refinement.
• Supports SSA anti-fraud missions (anomaly identification, risk modeling, real-time transaction screening, integrity reviews).

Required Qualifications

• 3--5 years DBA or data analytics experience.
• Certifications (any of the following -- or other equivalent): MCDBA, Oracle OCP, AWS Database Specialty, Azure Database Administrator.
• Strong experience in SQL, PL/SQL, DB2, Oracle, ETL/BI tools, Hadoop, PostgreSQL, modern analytics stacks.
• Skilled in cloud data platforms, predictive modeling tools, fraud detection systems.