Senior Platform Engineer, Enterprise Data at Arrowstreet Capital

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, TechnologyIndustries

Requirements

5+ years of professional experience in data engineering, DevOps, or related roles supporting data-centric systems
Strong programming skills in Python; experience with testing frameworks and software engineering best practices
Demonstrated expertise in SQL and data processing frameworks/libraries such as Spark and/or Pandas
Hands-on experience building complex, scalable data systems and pipelines (batch and/or streaming)
AWS experience with AWS services for data and compute (e.g., S3, EC2, Lambda, Glue/EMR, Redshift/RDS, IAM, VPC); 3+ years preferred
Proficiency with CI/CD and version control platforms (e.g., GitLab, GitHub, Jenkins), including pipeline design, automation, and troubleshooting
Infrastructure as Code (Terraform preferred); ability to provision, manage, and secure cloud resources via IaC
Experience with containerization and orchestration (Docker, Kubernetes)
Understanding of data storage technologies and modeling across databases, data warehouses, data lakes, and lakehouses; schema design and query optimization
Experience optimizing queries and manipulating/aggregating data, including point-in-time/temporal data semantics
Knowledge of monitoring and observability (e.g., CloudWatch, Prometheus/Grafana, ELK) for data pipelines and services

Responsibilities

Develop end-to-end CI/CD for data applications, pipelines, and platform services using GitLab CI/CD (build, test, deploy, promote, rollback, environments)
Automate infrastructure provisioning, configuration, and compliance with Terraform (and related tooling), implementing modular, reusable IaC patterns and GitOps workflows
Design and operate a cloud-native data platform on AWS data services (networking, compute, storage, security), enabling scalable ingestion, processing, storage, and retrieval
Implement platform reliability practices: monitoring, logging, tracing, alerting and enhanced platform resiliency via a multi-region design
Build and maintain deployment pipelines and release management for data workflows (batch/streaming), APIs, and microservices
Standardize environments and packaging (Docker), manage Kubernetes (EKS) clusters, and optimize workload scheduling, autoscaling, and cost efficiency
Enforce security and compliance-by-design: IAM, least privilege, KMS/secrets management and aligning security best practices
Develop platform tooling and self-service interfaces that connect data producers to consumers (service templates, golden paths, catalogs, and SLAs)
Migrate and modernize legacy/on-prem data infrastructure to AWS, consolidating disparate systems into a unified, governed data layer
Drive continuous improvement: evaluate new tools, optimize performance and cost, reduce toil through automation, and champion best practices across teams

Skills

Key technologies and capabilities for this role

GitLab CI/CDTerraformIaCGitOpsAWSdata pipelinesdata warehouselakehousemonitoringloggingtracingalertingmicroservicesCI/CDinfrastructure provisioning

Questions & Answers

Common questions about this position

What experience level is required for this Senior Platform Engineer role?

The role requires 5+ years of professional experience in data engineering, DevOps, or related roles supporting data-centric systems.

What are the key technical skills needed for this position?

Strong programming skills in Python with experience in testing frameworks and software engineering best practices are required, along with demonstrated expertise in SQL and data processing frameworks. Additional expertise includes GitLab CI/CD, Terraform for IaC, AWS data services, Docker, Kubernetes (EKS), and security practices like IAM and KMS.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of collaboration is involved in this role?

You will work closely with colleagues from different departments, business data owners, application and cloud teams, and business analysts to understand data needs, improve data movement, and implement reporting capabilities.

Arrowstreet Capital

Investment management for global equity strategies

About Arrowstreet Capital

Arrowstreet Capital specializes in managing global and international equity investments for institutional clients, including pension plans and foundations. Their investment strategies include long-only, alpha extension, and long/short approaches, utilizing various financial instruments like swaps and futures. The company employs quantitative methods to analyze investment signals and develop proprietary models for return, risk, and transaction costs. This structured investment process aims to create diversified equity portfolios that seek to outperform specific benchmarks by identifying opportunities across different companies, sectors, and countries. With around $100 billion in assets under management, Arrowstreet Capital serves over 200 clients across North America, Europe, and the Asia-Pacific region.

Boston, MassachusettsHeadquarters

1999Year Founded

SECONDARY_PRIVATECompany Stage

Quantitative Finance, Financial ServicesIndustries

201-500Employees

Risks

Indictment of former executive for trade secrets theft may impact client trust.

Market volatility and geopolitical tensions could affect portfolio performance.

Rise of passive investment strategies may increase competition and pressure on fees.

Differentiation

Utilizes quantitative methods for investment signals in proprietary models.

Manages $100 billion for over 200 global clients.

Offers diverse equity strategies including long-only, alpha extension, and long/short.

Upsides

Advancements in AI enhance quantitative model capabilities for market trend prediction.

Increased interest in ESG investing can be leveraged by integrating ESG metrics.

Thematic investing trends offer opportunities for specialized equity strategies.

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