Search Jobs | Dice.com

Job Details

Skills

Summary

<>Our client, a major bank in New York City, is looking for Data Architecture & Engineering Lead - Market Risk Technology.
New York City Location.

This is hybrid commute, 5 days per 2 weeks in the office.

Salary range 200-240K, plus around 20% bonus, plus great benefits package.

Data Architecture & Engineering Lead — Market Risk Technology

As the leader of data architecture and engineering for bank''''s Market Risk technology platform, you will oversee the end-to-end design, deployment, and operations of critical data solutions supporting VaR, FRTB, sensitivities, stress testing, limits, and regulatory reporting.

Your accountability spans the platform’s architectural vision, engineering frameworks, and the operational outcomes delivered to Risk, Finance, and Front Office stakeholders.

The platform is currently undergoing a migration from SSIS/SQL Server to Databricks and Delta Lake. You will be responsible for setting the target architecture, driving this migration to completion, and ensuring the stability of the legacy estate until it is fully decommissioned.

Role:

Data Architecture: Oversee the platform’s data architecture, including transactional and analytical stores, Lakehouse implementation, semantic layers, and reporting models. Establish scalable standards that apply across teams rather than bespoke designs for individual projects.
Engineering Frameworks & Patterns: Develop and enforce reusable libraries and frameworks for data ingestion, quality, reconciliation, lineage, orchestration, error handling, and recovery. Ensure these are built once and adopted broadly across the organization.
Migration Leadership: Lead the SSIS-to-Databricks migration program, including sequencing, parallel-run reconciliation, cutover, decommissioning, and operational handover at each step.
Risk Data Models: Design canonical and semantically clear data models for trades, positions, sensitivities, P&L, market data, VaR, stress, limits, capital, and regulatory reporting. Ensure models are fit for the consumers who rely on them.
Performance & Scale: Optimize SQL and Spark workloads, partitioning, storage design, and query performance to meet stringent EOD SLAs.
Data Observability: Integrate quality assurance, SLA tracking, pipeline health, reconciliation, anomaly detection, and lineage as core platform capabilities, not afterthoughts.
Full Lifecycle Ownership: Guide the platform from design through deployment and ongoing operations. While production support handles daily operations, you own the engineering discipline that underpins their success.
Stakeholder Partnership: Collaborate closely with risk managers, quants, application owners, engineers, support teams, infrastructure, and governance to ensure alignment and platform excellence.

Required Experience

15+ years in data architecture, engineering, or platform roles within financial services.
Hands-on expertise in Market Risk data domains including trades, positions, sensitivities, P&L, market data, VaR, stress, FRTB, capital, and regulatory reporting, with the depth to model the domain, not just describe it.
Proven experience designing and operating modern data platforms including lakehouse, distributed compute, semantic layers, and hybrid on-prem/cloud environments.
Production experience with Databricks, Spark, and Delta Lake, plus working knowledge of SQL Server and SSIS to credibly lead migration.
Expertise in data modeling for operational, dimensional, semantic, and canonical models.
Demonstrated leadership of large ETL modernization initiatives, including sequencing, parallel-run, cutover, and decommissioning.
Track record of building reusable engineering frameworks adopted across teams.
Experience in performance tuning at scale for SQL Server, Databricks, Spark, storage formats, and query optimization.
Architectural leadership: setting direction, reviewing designs, challenging weak patterns, and mentoring engineers and architects.
Strong communication skills, capable of defending architectural decisions to senior technology, risk, and business leaders.

Please email your resume or use this link to apply directly:

brainsworkgroup.catsone.com/careers/index.php?m=portal&a=details&jobOrderID=16836231
Or email: igork@brainsworkgroup .com
Check ALL our Jobs: brainsworkgroup.catsone.com/careers

Keywords: lead director manager VP architect engineer data lake lakehouse SQL SSIS databricks spark ETL Risk VaR FRTB Stress bank finance financial

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL499109
Position Id: DataArchitect21
Posted 11 hours ago

Fitment

Dice Job Match Score™

🧠 Analyzing your skills...

Contact the job poster

Igor Kanda

Recruiter @ Brains Workgroup, Inc.

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Jersey City, New Jersey

•

Today

Please contact Renu Goel no corps Location: Jersey City Hybrid: Yes, 3 days onsite Convert/Visa: Potential right to hire and unable to sponsor Interview: onsite required Keys to the position: Data Architect/ModelerFinancial ExperienceData Architect & Modeler across platformsHands-on engineeringDatabricks (cloud platforms)Experience Migrating from Legacy/Oracle to CloudImplement/Support Master Data platformsGolden Source DataWill be supporting different projects not just one We are seeking an

Easy Apply

Full-time

Competitive

Data Platform Manager

New York, New York

•

13d ago

Data Platform Manager Job Description: The Data Platform Manager is responsible for overseeing the design, development, and ongoing management of the organization's data platform, ensuring it effectively supports analytics, reporting, and operational data needs. This role leads the strategy and execution of data architecture, data engineering, and platform optimization, including tools such as Databricks, Fivetran, and Oracle Fusion integrations. The Data Platform Manager works closely with busi

Full-time

Senior Snowflake Data Architect w/d Strong DBT Experience

Jersey City, New Jersey

•

24d ago

Job Title: Senior Snowflake Data Architect w/d Strong DBT Experience Location: Jersey City, NJ 3-4 Days onsite role Fulltime Role Job Summary: We are looking for a highly experienced Senior Snowflake Data Architect to drive the design and evolution of large-scale, enterprise data platforms in a data-intensive environment. This role requires a strategic thinker and hands-on architect who can solve complex, real-world data challenges, optimize for cost and performance, and design future-ready data

Easy Apply

Full-time

$140,000 - $150,000

Data Architect/Modeler with MDM and GoldenSource exp, Local

Hybrid in Jersey City, New Jersey

•

17d ago

Position- Data Architect/Modeler with MDM and GoldenSource exp, Local Location- Jersey City, NJ Type- Hybrid (3 days/week office) MUST Enterprise Data Architecture & Modeling: 810 years of experience designing conceptual, logical, and physical data models across operational, analytical, and modern cloud platforms.Legacy-to-Cloud Migration: Proven experience modernizing legacy on-premise data warehouses (specifically Oracle Exadata) to modern cloud ecosystems (Databricks, Snowflake, Azure/AWS/Go

Easy Apply

Contract

70 - 75

Filter Results

Job post features

Posted date

Work settings

Employment type

Distance

Employer type

Work authorization

Data Architecture Market Risk Lead

Skills

Summary

Role:

Dice Job Match Score™

Igor Kanda

Similar Jobs

Data Architecture Market Risk Lead

Job Details

Skills

Summary

Role:

Dice Job Match Score™

Igor Kanda

Similar Jobs