Senior Database Architect

Accord Technologies Inc

New York (NY)

On-site

USD 130,000 - 160,000

Full time

14 days+

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Job summary

A reputable technology company in New York is seeking an experienced Senior Database Architect. This role requires 12–15 years of hands-on expertise in ETL development, with a strong focus on SQL Server, Python, and Linux. The ideal candidate will lead the design and optimization of data solutions in a collaborative environment. Responsibilities involve delivering end-to-end ETL development, architecting database systems, and troubleshooting technical issues. Preferred candidates will have familiarity with AWS and cloud technologies.

Qualifications

  • 12–15 years of experience in ETL development focusing on SQL Server, Python, and Linux.
  • Deep expertise in Microsoft SQL Server (MSSQL) for T-SQL, stored procedures, data modeling.
  • Strong analytical and problem-solving skills for complex technical issues.

Responsibilities

  • Lead end-to-end ETL development using SQL Server, Python, and Linux.
  • Architect and optimize database systems for scalability and performance.
  • Troubleshoot complex data and performance issues.

Skills

ETL development
SQL Server
Python
Linux
Shell scripting
Data modeling
Performance tuning

Tools

AWS (EC2, RDS, Lambda, S3)

Job description

Senior Database Architect

Senior Database Architect

New York, NY (Need Onsite day 1, hybrid 3 days from office)

Position type: W2 contract

Job Description

We are seeking an experienced Database Architect with 12–15 years of hands-on expertise in ETL development, SQL Server, Python, and Linux. The ideal candidate will play a key leadership role in designing, developing, and optimizing data solutions while working closely with cross-functional teams across onshore and offshore environments. This individual must be self-driven, highly analytical, and capable of driving end-to-end technical solutions.

Responsibilities
  • Lead and deliver end-to-end ETL development using SQL Server, Python, and Linux-based components.
  • Architect, design, and optimize database systems, ensuring scalability, performance, and reliability.
  • Develop T-SQL queries, stored procedures, functions, and database structures following best practices.
  • Work extensively in Unix/Linux environments, including shell scripting for automation and system tasks.
  • Drive Python-based scripting, automation, and integration workflows.
  • Collaborate with analysts, SMEs, and business partners to understand requirements and translate them into technical solutions.
  • Act as a technical lead for onshore-offshore teams, ensuring smooth coordination and high-quality deliverables.
  • Troubleshoot complex data and performance issues; identify root causes and implement effective solutions.
  • Maintain and enhance technical documentation, coding standards, and design guidelines.
  • Ensure adherence to organizational best practices, data governance, and compliance requirements.
Requirements
  • 12–15 years of experience in ETL development with a strong focus on SQL Server, Python, and Linux.
  • Deep expertise in Microsoft SQL Server (MSSQL), including:
    • T-SQL
    • Stored procedures
    • Data modeling & architecture patterns
    • Performance tuning and optimization
  • Strong understanding of Unix/Linux environments and shell scripting.
  • Hands-on experience with Python for scripting, automation, and data integration tasks.
  • Ability to work independently and collaboratively in fast-paced environments.
  • Strong analytical and problem-solving skills with a proven ability to resolve complex technical issues.
  • Excellent verbal and written communication skills for engaging with technical and non-technical stakeholders.
  • Prior experience working in engineering roles focused on database and data integration.
  • Proven experience with onshore-offshore coordination.
  • Experience in preparing and maintaining technical documentation.
Preferred
  • Familiarity with AWS services and cloud technologies (e.g., EC2, RDS, Lambda, S3).
  • Exposure to modern data pipelines, orchestration tools, or CI/CD practices.
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