Business Technical Architect

qode.world

Business Technical Architect driving investment data from analysis to architecture in financial services. Collaborating across teams to ensure data meets business needs and is delivered effectively.

Posted 7/8/2026full-timePennsylvania • Pennsylvania • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

GraphQLHadoopHDFSOraclePySparkSQL

About the role

Key responsibilities & impact

Analyze the data yourself — profile, query, and reconcile investment data directly (SQL against Oracle, distributed processing on Hadoop/PySpark) to answer business questions and pressure-test assumptions before they become designs.
Design the architecture — target-state data models, integration patterns, and data-serving designs (including GraphQL and other API layers) that balance performance, cost, and maintainability.
Drive the business discussion — turn ambiguous needs from PMs, research, risk, and client reporting into a clear problem statement, prioritized backlog, and outcomes stakeholders care about.
Drive the technical discussion — lead design reviews with engineering and platform teams; make and defend trade-offs on modeling, storage, processing, and distribution.
Own the data domains — security master and reference data, market/pricing data, holdings and transactions, benchmarks, performance and attribution, risk, and ESG/alternative data.
Govern data as a product — ownership, quality SLAs, lineage, and shared definitions so a "position" or an "AUM" number means the same thing everywhere.
Rationalize vendors and platforms — evaluate market data and platform vendors (Bloomberg, LSEG/Refinitiv, FactSet, MSCI, ICE, Aladdin/other OMS) against coverage, cost, and redundancy.

Requirements

What you’ll need

7–12 years across investment management, financial services data, or related consulting, with real exposure to the buy-side investment lifecycle.
SQL — advanced query writing and performance tuning.
Oracle — deep experience against Oracle databases (PL/SQL a plus).
Hadoop — working knowledge of the big-data ecosystem (HDFS, Hive, etc.).
PySpark — building and optimizing distributed data processing.
GraphQL — designing and exposing data through GraphQL / API-based serving layers.
Working fluency in investment data domains (security master, benchmark files, performance return streams, and how they connect).
Proven ability as a genuine hybrid — trusted by business stakeholders and respected by engineers.
Data modeling and architecture experience — able to design a target state, not just critique one.
Strong written and verbal communication; comfortable moving between a PM, a CDO, and a data engineer in the same afternoon.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account qode.world Website LinkedIn All Job Openings 11 - 50 employees 🤖 Artificial Intelligence 👥 HR Tech 🎯 Recruiter Artificial Intelligence
HR Tech
Recruitment qode. world is a company that leverages artificial intelligence to revolutionize the recruiting process. Their platform allows users to find candidates by sourcing data from billions of data points worldwide and provides data-driven insights. Users can connect with candidates directly through the platform, conduct customized AI-led interviews, and get comprehensive assessments. The service also integrates easily with LinkedIn, enhancing the talent pool and facilitating direct communication with candidates listed there. Qode. world offers additional recruiting services to assist in hiring for niche or senior roles. They are praised for their effectiveness in streamlining the hiring process and delivering quick results. Business Technical Architect Job not on LinkedIn 🔥 32 minutes ago 🏢🏡 Pennsylvania – Hybrid ⏰ Full Time 🟠 Senior 🔴 Lead 🔙 Backend Engineer GraphQL Hadoop HDFS Oracle PySpark SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Analyze the data yourself — profile, query, and reconcile investment data directly (SQL against Oracle, distributed processing on Hadoop/PySpark) to answer business questions and pressure-test assumptions before they become designs.
Design the architecture — target-state data models, integration patterns, and data-serving designs (including GraphQL and other API layers) that balance performance, cost, and maintainability.
Drive the business discussion — turn ambiguous needs from PMs, research, risk, and client reporting into a clear problem statement, prioritized backlog, and outcomes stakeholders care about.
Drive the technical discussion — lead design reviews with engineering and platform teams; make and defend trade-offs on modeling, storage, processing, and distribution.
Own the data domains — security master and reference data, market/pricing data, holdings and transactions, benchmarks, performance and attribution, risk, and ESG/alternative data.
Govern data as a product — ownership, quality SLAs, lineage, and shared definitions so a "position" or an "AUM" number means the same thing everywhere.
Rationalize vendors and platforms — evaluate market data and platform vendors (Bloomberg, LSEG/Refinitiv, FactSet, MSCI, ICE, Aladdin/other OMS) against coverage, cost, and redundancy. 🎯 Requirements
7–12 years across investment management, financial services data, or related consulting, with real exposure to the buy-side investment lifecycle.
SQL — advanced query writing and performance tuning.
Oracle — deep experience against Oracle databases (PL/SQL a plus).
Hadoop — working knowledge of the big-data ecosystem (HDFS, Hive, etc.).
PySpark — building and optimizing distributed data processing.
GraphQL — designing and exposing data through GraphQL / API-based serving layers.
Working fluency in investment data domains (security master, benchmark files, performance return streams, and how they connect).
Proven ability as a genuine hybrid — trusted by business stakeholders and respected by engineers.
Data modeling and architecture experience — able to design a target state, not just critique one.
Strong written and verbal communication; comfortable moving between a PM, a CDO, and a data engineer in the same afternoon. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

SQLOracleHadoopPySparkGraphQLData ModelingData ArchitecturePerformance TuningData AnalysisInvestment Data Domains

Soft Skills

Strong CommunicationStakeholder ManagementProblem-SolvingCollaborationLeadership