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Database Administrator, Enterprise Data Engineer
Leyden Solutions, Inc.. Design, develop, and maintain an enterprise data warehouse, data lake, or comparable data platform.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining enterprise data warehouses and data lakes, with a strong focus on ETL/ELT processes, data migration, and reporting using Power BI. Proficient in database administration, data quality principles, and implementing security controls within cloud environments.
Highest-signal resume keywords
ETL/ELT Process DevelopmentPower BI Reporting and DashboardsDatabase Administration and OptimizationData Migration and ValidationData Quality and Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData ModelingData TransformationDatabase DesignData ProfilingData CleansingQuery OptimizationBackup and RecoveryPerformance TuningData Mapping
Soft Skills
PrioritizationReliabilityCollaboration
Tools & Technologies
Microsoft AzureAzure Data FactoryPower BIDatabricksAWSGoogle Cloud Platform
Certifications & Qualifications
Cloud CertificationsDatabase CertificationsData Engineering CertificationsPower BI Certifications
Industry Keywords
Data GovernanceData SecurityData QualityLegacy Data MigrationPublic-Sector Compliance
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformSQL
About the role
Key responsibilities & impact- Design, develop, and maintain an enterprise data warehouse, data lake, or comparable data platform.
- Define data models, schemas, metadata, integration patterns, storage approaches, and lifecycle-management practices.
- Establish standards for data ingestion, transformation, storage, access, retention, lineage, cataloging, quality, and security.
- Develop and maintain scalable ETL/ELT pipelines for batch, near-real-time, and real-time data processing.
- Design secure, reliable interfaces among enterprise applications, reporting platforms, analytics tools, and data repositories.
- Plan, execute, document, and support migration of legacy data to the enterprise data environment.
- Assess source-system structures, data quality, business rules, integration dependencies, and technical constraints.
- Develop data mappings, transformation rules, migration procedures, reconciliation methods, validation criteria, and rollback plans.
- Migrate and validate data associated with OMS, PIC, PAC, IIMS, SSO, and other assigned applications.
- Perform data profiling, cleansing, standardization, deduplication, reconciliation, and exception resolution.
- Produce validation results, discrepancy logs, remediation recommendations, and migration-completion documentation.
- Develop and maintain Power BI reporting pipelines, semantic models, datasets, dashboards, and reports.
- Implement telemetry-based reporting for application activity, system health, performance, and operational metrics.
- Develop real-time and near-real-time ingestion workloads for reporting, monitoring, analytics, and decision support.
- Optimize reporting data models, refresh processes, queries, and dashboards.
- Work with stakeholders to define reporting requirements, KPIs, data definitions, and dashboard enhancements.
- Perform database design, configuration, administration, maintenance, optimization, and operational support.
- Monitor database health, availability, capacity, storage, performance, query efficiency, replication, backups, and telemetry.
- Resolve performance issues through indexing, query tuning, partitioning, caching, archiving, configuration improvements, and capacity planning.
- Execute backup and recovery validation, integrity checks, statistics maintenance, patch coordination, and monitoring.
- Implement and maintain database security controls, including role-based access control, least-privilege access, authentication, authorization, encryption, auditing, and logging.
- Provide recurring operational support, planned migrations, reporting releases, and response to database or data-pipeline issues.
- Report to the Program Manager, Chief Information Officer, Data Architect, or designated technical lead.
Requirements
What you’ll need- Bachelor’s degree in computer science, information systems, data engineering, software engineering, or a related technical discipline; equivalent experience, education, training, or certifications may be considered.
- Experience in database administration, data engineering, data architecture, or a related technical role.
- Experience designing or supporting enterprise data warehouses, data lakes, lakehouses, or comparable platforms.
- Experience developing ETL/ELT processes, data pipelines, transformations, and system integrations.
- Experience with legacy data migration, mapping, profiling, cleansing, reconciliation, validation, and remediation.
- Proficiency with SQL, relational database design, normalization, indexing, query optimization, backup and recovery, and performance tuning.
- Experience developing Power BI data models, datasets, dashboards, reports, and refresh pipelines.
- Knowledge of data quality, governance, metadata, lineage, security, and access-control principles.
- Ability to manage competing priorities and deliver reliable support within an estimated commitment of 75–80 hours per month.
- Must comply with applicable security, privacy, data-handling, background-screening, and customer-access requirements.
- Occasional work outside normal business hours may be required.
- Preferred: experience with Microsoft Azure, Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Databricks, AWS, Google Cloud Platform, or comparable cloud data platforms.
- Preferred: experience implementing streaming, event-driven, telemetry, or real-time data-ingestion solutions.
- Preferred: experience with data cataloging, master-data management, and data-governance tools.
- Preferred: experience supporting public-sector, regulated, criminal-justice, or security-sensitive environments.
- Preferred: familiarity with DevOps, DataOps, CI/CD, source control, automated testing, and infrastructure-as-code practices.
- Preferred: relevant cloud, database, data-engineering, or Power BI certifications.
Benefits
Comp & perks- 401(k)
- 401(k) matching
- Flexible schedule
- Flexible work from home options available
- Competitive health and retirement plans
- Education assistance
- Paid time off
- Federal holidays
- Programs that support you and your family
- Performance and Longevity Bonuses
- Standard Referral Bonuses for all open positions
- 26 days annual PTO and Holidays
- 100% employer paid short-term and long-term disability insurance
- 50% employer paid health insurance
- Dental & Vision Plans available
- 100% employer paid life insurance
- 401(k) Plan with employer match on the first 5% of your salary
- Pretax and Roth 401(k) available
- Retirement planner