Senior Cloud Disaster Recovery Engineer

OpenKyber LLC
United States
3 months ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Microsoft Azure Big Data Business Software Cloud Computing Profiling Code Review Information Systems Computer Programming Databases Continuous Integration Data Architecture
+40 more
Data Governance Data Integrity Extract Transform Load (ETL) Data Migration Data Systems Database Development Database Security DevOps Programming Tools Disaster Recovery Apache Hadoop Python (Programming Language) PostgreSQL Microsoft SQL Server SQL Azure MySQL NoSQL Oracle (Applications) Performance Tuning Standard Sql SQL Stored Procedures SQL Databases SQL Server Reporting Services SQL Server Integration Services SQL Server Analysis Services Transact-SQL Enterprise Software Applications Cloud Platform System Azure Data Factory Database Optimization Apache Spark Data Strategy Amazon Relational Database Service Information Technology Star Schema Data Lakehouse Terraform Azure Data Analytics Data Pipelines Databricks

Job description

Job Title: Azure Data Solutions Architect (Onsite) Location: Washington, DC Duration: 03 Months with possible extension Job Description: The client is seeking an experienced Azure Data Solutions Architect with significant expertise in the design, development, and optimization of our enterprise level analytical data platform solutions. This top-level role will be instrumental in architecting scalable, reliable, and high-performance data systems that support critical business applications and analytics. The ideal candidate will be a data expert, capable of translating complex business requirements into robust technical solutions, mentoring junior developers, and driving data strategies across the organization. Key Responsibilities Database Architecture & Design: Lead the design and implementation of complex, scalable data architectures (relational and potentially NoSQL), including schemas, tables, views, and indexing strategies, ensuring data integrity and consistency. Responsible for designing and gaining approval on data architecture decisions, data modeling approaches, design standards, development tools and lifecycle practices that has row level security based on Azure data analytics platform. Performance Optimization: Serve as the primary expert for performance tuning and optimization of all SQL queries, stored procedures, and database configurations, utilizing advanced tools (e.g., SQL Server Profiler) to identify and resolve bottlenecks in high-volume environments. ETL and Data Pipelines: Architect, develop, and maintain robust ETL/ELT processes and data pipelines to facilitate data migration, transformation, and integration from various sources into data lakehouse and warehouse on Azure technology stack. Technical Leadership & Mentorship: Provide technical guidance, perform code reviews, and mentor junior and mid-level developers on best practices for SQL development, data modeling, and database management. Collaboration & Strategy: Work closely with senior

Requirements

Do you have experience in Terraform?, Do you have a Bachelor’s degree?, management, data scientists, application developers, and business analysts to understand data needs, align database strategy with organizational goals, and influence the overall technology roadmap. Data Governance & Security: Define and enforce database security measures, backup/recovery, and disaster recovery strategies to safeguard critical data and ensure compliance with industry regulations (e.g., GDPR, HIPAA). Troubleshooting & Problem Solving: Proactively monitor and troubleshoot the most complex database issues, providing high-level support and implementing permanent solutions to ensure minimal downtime and disruption. Documentation & Standards: Champion a culture of comprehensive documentation for database architectures, processes, and operational procedures to ensure knowledge sharing and maintainability. Required Qualifications and Skills Experience: 15+ years of proven experience (Master Level) of delivering high quality, complex technology solutions in commercial and government organizations; delivering state-of-the-art data analytics platforms and enterprise applications; and senior level understanding of health care management systems; and working with senior executives. Soft Skills: Exceptional analytical and complex problem-solving abilities, excellent communication skills for technical and non-technical audiences, and a proactive, leadership-oriented mindset. Skills: Exp. working with SQL, SSRS, SSIS, SSAS, Databricks, Python, and DAX-Required-10-Years Exp.in one or more major DBMS platforms (e.g., Microsoft SQL Server, Oracle, PostgreSQL, MySQL) and advanced T-SQL/PL-SQL programming-Required-10-Years Exp. data modeling (dimensional, star/snowflake schemas),-Required-10-Years Exp with ETL tools (SSIS, Informatica),-Required-10-Years Exp. with cloud-based data platforms (AWS RDS, Azure SQL, etc.).-Required-8-Years High proficiency with Azure Data Factory-Required-8-Years Strong understanding of database architecture principles, high availability solutions (clustering, replication), and capacity planning.-Required-8-Years A Bachelor’s degree in Business Administration, Computer Science, Information Systems, or a related field-Required- - Microsoft Certified: Azure Database Administrator Associate), exp. with Big Data technologies (Spark, Hadoop), and DevOps practices (CI/CD, Terraform)-Required- - Candidate must have the experience to qualify for a STaR2 Journeyman category position.-Required- -

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