Database Architect with Investment Banking || Hybrid || NYC

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ipivotNew York (NY)

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About the role

Database Architect with Investment Banking New York, NY (Need Onsite day 1, hybrid 3 days from office). Contract- W2
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. Requirements12–15 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 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.

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