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Senior Technical Architect / Hands-On Implementer

BIP US

US · flexible Full-time Senior $250k – $300k/yr 2w ago

About the role

About BIP

Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (New York, Charlotte, Chicago, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society.

BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our domains include Financial Services business serves Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients.

BIP is currently expanding its footprint in the United States, focusing on growing its Capital Markets and Financial Services lines. Our teams operate at the intersection of business strategy, technology, and data to help our clients in driving smarter decisions, reducing risks, and staying ahead in a fast-evolving market environment.

About the Role

We are seeking a Senior Technical Architect / Hands-On Implementer with 10+ years of experience to join our team and lead a high-impact data transformation initiative for a leading financial services client.

This role will be embedded within a front-office aligned data environment, focused on re-architecting reference and security data systems currently built on Markit EDM / SecMaster.

You will play a critical role in diagnosing systemic data and architectural issues, defining a future-state platform, and driving implementation of a modern, scalable, AI-enabled data ecosystem.

This is a client-facing, delivery-focused role requiring a deep technical leader who can both architect and build.

Key Objectives

  • Diagnose and resolve systemic issues in reference and security data architecture
  • Separate and rationalize reference data vs. time-series/calculated data
  • Define and implement a future-state architecture
  • Enable transition toward a modern, AI-native engineering model

Key Responsibilities

Architecture & Delivery Leadership

  • Own the end-to-end architecture for reference and security data within the client environment
  • Reverse engineer current systems (Markit EDM / SecMaster) to:
    • Identify root causes of data quality issues
    • Uncover architectural limitations and misuses
  • Define and drive a target-state architecture aligned to business and scalability needs

Hands-On Implementation

  • Act as both architect and lead engineer
  • Design and build solutions across:
    • Data pipelines and processing frameworks
    • Event-driven / pub-sub architectures
    • Multi-model data systems
  • Make key design decisions on:
    • What logic/data should remain in EDM vs. be externalized

Modernization & Innovation

  • Introduce and implement next-generation architecture patterns, including:
    • Event-driven and streaming architectures
    • Data lineage, observability, and dependency mapping
    • AI/LLM-enabled and agentic engineering workflows
  • Help shift the client away from traditional ETL-heavy approaches toward modern paradigms

Client Engagement & Leadership

  • Serve as a trusted technical advisor to client stakeholders
  • Interface with:
    • Portfolio Managers
    • Business and data stakeholders
    • Senior NYC leadership
  • Translate complex technical challenges into actionable solutions
  • Mentor and guide a junior AI-enabled engineer

Required Qualifications

Technical Expertise

  • Strong experience in:
    • Data architecture + hands-on engineering
    • Designing and implementing enterprise-scale data platforms
  • Experience with:
    • Reference data / security master systems (strongly preferred)
    • OR market data platforms (acceptable alternative)
  • Proven ability to:
    • Reverse engineer complex systems
    • Redesign architectures from the ground up

Modern Technology Exposure

  • Familiarity with:
    • Event-driven architectures (Kafka, pub-sub, etc.)
    • Data lineage / metadata frameworks
    • LLMs and AI-native architectures
    • Agentic or AI-assisted engineering workflows

Critical Experience

  • Buy-side financial services experience is strongly preferred (asset management, hedge funds, etc.)
  • 10+ years of experience in the target role space

Compensation

The base salary range for this role is $250,000 - $300,000, with flexibility for exceptional candidates

Benefits

  • Choice of medical, dental, vision insurance.
  • Voluntary benefits.
  • Short- and long-term disability.
  • HSA and FSAs.
  • Matching 401k.
  • Discretionary performance bonus.
  • Employee referral bonus.
  • Employee assistance program.
  • 11 public holidays.
  • 20 days PTO.
  • 7 Sick Days.
  • PTO buy and sell program.
  • Volunteer days.
  • Paid parental leave.
  • Remote/hybrid work environment support.

For more information about BIP US, visit https://www.bip-group.com/en-us/.

Equal Employment Opportunity

It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.

Skills

AIData pipelinesData qualityData transformationETLEvent-driven architectureKafkaLLMMarkit EDMMulti-model databasesObservabilityPub/SubReference dataSecMasterSecurity dataStreaming architecture

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