Sr Datawarehouse Architect for New York City NY New York City, NY, NY

Sr Datawarehouse Architect for New York City NY

Full Time • New York City, NY, NY
Replies within 24 hours
Synechron Inc – Sr. Datawarehouse Architect for New York City, NY
Job Description:
  • We are looking for a highly proficient Data Warehouse Architect to lead the design and implementation of our enterprise data solutions.
  • The ideal candidate will possess strong expertise in Azure Databricks, Python, and have a deep understanding of the financial or capital markets domain to support our data-driven initiatives and strategic insights.
 
Key Responsibilities:
·         Design, develop, and optimize scalable data warehouse architectures leveraging Azure cloud services.
·         Build and maintain robust data pipelines and workflows using Azure Databricks and Python.
·         Collaborate with business teams to understand data requirements and translate them into effective technical solutions.
·         Ensure high data quality, security, and compliance with industry standards and regulations.
·         Lead efforts to migrate legacy data systems to modern cloud-based architectures.
·         Develop data models, ETL/ELT processes, and performance tuning strategies.
·         Provide technical leadership, mentorship, and guidance to data engineering teams.
·         Monitor data pipelines for reliability and troubleshoot issues as they arise.
·         Stay current with emerging technologies, tools, and best practices in big data, cloud computing, and financial data management.
 
Data Governance & Compliance:
·         Define and operationalize the Data Governance framework covering data ownership, stewardship, classification, lineage, and quality SLAs in collaboration with the CDO and Compliance teams.
·         Implement automated end-to-end data lineage capabilities to support audit trails and regulatory examinations.
·         Establish and monitor data quality dimensions such as completeness, accuracy, consistency, and timeliness with automated profiling and alerting for critical financial datasets.
·         Drive data cataloguing initiatives, business glossary management, and metadata enrichment to improve enterprise-wide data democratization.
·         Ensure adherence to financial industry governance, security, privacy, and regulatory requirements.
 
Stakeholder Engagement & Leadership:
  • Act as a trusted technical advisor to senior stakeholders on enterprise data strategy and platform capabilities.
  • Lead and mentor a team of data engineers through architectural guidance, code reviews, and technical coaching.
  • Partner with Enterprise Architecture and Infrastructure teams to ensure alignment with bank-wide technology standards.
  • Produce clear technical documentation, architecture diagrams, and executive-level presentations for technical and non-technical audiences.
 
Qualifications:
  • Proven experience as a Data Warehouse Architect or in a similar senior data engineering role.
  • Hands-on experience with Azure Databricks, Python, and related Azure Data Services.
  • Strong proficiency in SQL and data modeling techniques.
  • Experience developing data pipelines, ETL/ELT workflows, and working with big data technologies such as Spark.
  • Deep domain knowledge of the financial or capital markets industry, including financial instruments, trading, risk management, and regulatory compliance.
  • Familiarity with data governance, security, and regulatory requirements.
  • Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
  • Excellent communication skills with the ability to collaborate effectively across cross-functional teams and executive stakeholders.
 
Preferred Skills:
  • Azure certifications such as Azure Data Engineer, Azure Data Scientist, or Azure Solutions Architect.
  • Experience with additional programming languages such as Scala, Java, or C#.
  • Knowledge of financial data standards and protocols.
  • Familiarity with BI tools and reporting platforms.
Compensation: $60.00 - $65.00 per hour




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