Senior Data Engineer
FinStrat Management
India, PhilippinesremotePosted 1 month ago
Skill Required
Data-EngineerData-EngineeringCloud-EngineerAI-EngineeringClient-Facing-EngineerSenior-Data-EngineeringSenior-Data-Engineer-JobsSenior-Data-Engineer-PositionsData Engineerdata engineeringGitHub ActionsCloud SecurityAWSEngineeringServerlessautomationsimilar)debuggingsecuritybuildingHubSpotwrittenPythondesignGitISO 27001CI/CDCloudDesign PatternsRustAPIsdbtSQLIAMFulltime
Key highlights
- Compensation commensurate with experience
- Senior engineering role with hands-on and client-facing responsibilities
- 5+ years building and operating production systems on AWS
- Unlimited vacation
- Strong overlap with US Eastern hours required
- Demonstrated experience working directly with clients or business stakeholders
Role overview
FSM is building the next generation of AI-powered financial systems — where accounting, operations, and data applications work together intelligently. As a Senior Data Engineer, you'll be both a core builder of that platform and a primary technical point of contact for clients as they navigate that transformation. This is a hands-on, client-facing, senior engineering role. Most of your week is deep technical work — cloud infrastructure, data pipelines, and AI agents. A meaningful part of it is direct conversation with client accounting, finance, and operations teams, leading discovery and translating what you learn into what we ship. You're equally comfortable debugging an IAM policy, pairing with an AI Agent Engineer, and running a discovery session with a client's Controller. You'll work closely with the Head of Engineering and CTO, alongside FSM's junior and senior engineers and offshore team, and serve as a trusted technical voice clients rely on throughout the engagement.
Responsibilities
- Design, build, and operate FSM's AWS infrastructure: Lambda, API Gateway, SQS, RDS, Cognito, Secrets Manager, CloudWatch
- Own infrastructure-as-code (CloudFormation), CI/CD (GitHub Actions), and FSM's multi-tenant security model — IAM roles, tenant isolation, secrets management, auditability
- Maintain FSM's security and compliance posture — least-privilege IAM, secrets management, and ongoing SOC 2 / Vanta controls, checks, and audit readiness
- Maintain and extend FSM's templating/scaffolding system (copier-based) so new client pipelines and agents deploy fast and stay consistent
- Build and maintain data pipelines and the S3-based data platform feeding FSM's agents and BI (DBT, AWS QuickSight)
- Architect and build integrations across accounting, ERP, CRM, and operational apps — QuickBooks, HubSpot, Stripe, Plaid, Box, Slack — into a clean, source-agnostic layer
- Ensure consistent, accurate, reconciled data flow
- Design and code intelligent agents that act on financial data through APIs and natural-language interfaces, plugging into FSM's orchestration layer
- Develop the logic frameworks, contracts, and prompts that govern how agents interpret data, take action, and communicate results — including human-in-the-loop controls
- Test and refine agent performance with real client data — ensuring security, auditability, and alignment with accounting principles
- Walk clients through agent behavior and outputs directly, building their confidence and trust in the automation
- Lead discovery sessions with client accounting, finance, and operations teams to understand their workflows, data challenges, and automation needs
- Serve as the primary technical liaison between FSM and the client — explaining findings, options, and trade-offs in terms non-technical stakeholders can act on
- Identify opportunities where AI agents can replace repetitive processes, improve reconciliation, or enhance insight delivery
- Translate accounting concepts into technical requirements — and technical constraints back into business terms
- Create comprehensive documentation of automations, agent behaviors, infrastructure, and client-specific implementations
- Establish repeatable playbooks, naming conventions, and frameworks that take FSM from trial-and-error to scalable structure
- Partner with leadership to define best practices as the department evolves
- Share progress, blockers, and technical decisions clearly — and early — across Engineering, Client Delivery, and CSM, not just with the AI Agent Engineering team
Requirements
- 5+ years building and operating production systems on AWS, with real depth in serverless (Lambda/API Gateway), infrastructure-as-code (CloudFormation or similar), and cloud security (IAM, secrets, multi-tenancy)
- Strong data engineering: Python, SQL, data pipelines, and a modern data stack (DBT, S3/data-lake patterns, a BI tool)
- Solid CI/CD and Git discipline; you write reviewable code and review others' well
- Experience integrating accounting/ERP/CRM platforms (QuickBooks, HubSpot, or similar) via APIs, webhooks, or connectors
- Comfort with LLM-based tools and APIs — prompt design and evaluating agent outputs for accuracy and reliability
- Hands-on experience using AI coding tools (e.g., Claude Code) as part of your daily development workflow — planning, building, reviewing, and documenting code with them
- Demonstrated experience working directly with clients or business stakeholders — leading discovery, presenting findings, managing expectations, not just coding behind the scenes
- You take positions and own decisions. Under ambiguity you form a recommendation, explain your reasoning, and drive it — rather than waiting to be told
- You communicate clearly under pressure — status, trade-offs, and blockers surfaced early — with technical and non-technical audiences alike
- Excellent verbal and written English; strong overlap with US Eastern hours
Nice to have
- Experience building LLM/AI agents or orchestration systems
- Templating tools (copier/cookiecutter)
- Working knowledge of accounting (reconciliations, journal entries, chart of accounts, financial reporting) — or a genuine willingness to learn the domain; FSM will teach it
- Experience taking a team from bespoke work toward standardized, documented process
- Familiarity with SOC 2 / Vanta-style compliance
Benefits
- Compensation commensurate with experience
- Unlimited vacation
- Ongoing education and training
- Bonuses
Additional details
- Our Stack: AWS (Lambda, API Gateway, SQS, RDS + RDS Proxy, Cognito, Secrets Manager, CloudFormation, CloudWatch) · Python · GitHub Actions · Claude Code · copier · DBT · S3 · AWS QuickSight · LLM agents (Claude) · QuickBooks, HubSpot, Stripe, Plaid, Box, Slack