Senior Data Platform Engineer (AI-Powered SaaS)

Stravito • Sweden

Remote

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AI Summary

Build and maintain the scalable, secure, multi-tenant data platform underpinning Stravito’s AI-driven consumer insights and market research solutions. Design pipelines, APIs, and infrastructure for Fortune 500 clients while ensuring compliance, reliability, and seamless integration with AI systems. Own end-to-end data workflows from ingestion to analytics, bridging engineering and business needs in a fully remote, globally distributed team.

Key Highlights

Own the end-to-end data platform for AI-driven SaaS analytics, serving Fortune 500 clients with multi-tenant security and compliance (SOC 2, ISO 27001).

Design and operate cloud-native data pipelines, APIs, and vector stores for event streams, proprietary market research, and usage telemetry.

Drive engineering best practices (CI/CD, IaC, observability) while collaborating cross-functionally to solve complex infrastructure challenges.

Key Responsibilities

Build and operate data pipelines ingesting event streams, document metadata, and usage telemetry into cloud data warehouses (Snowflake, ClickHouse, Azure).

Design and maintain secure, multi-tenant APIs for analytics and event extraction with RBAC, OAuth, and SSO/SAML integration.

Ensure data reliability, quality, and usability through schema modeling, BI tool integration, and stakeholder collaboration.

Implement automated testing, monitoring, and compliance controls for SOC 2 and ISO 27001 environments.

Collaborate with AI teams to integrate vector stores, embeddings, and retrieval systems for intelligent insights generation.

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Technical Skills Required

Python Multi-tenant Cloud Data Warehouses (e.g., Snowflake, ClickHouse) API Design & Security (RBAC, OAuth, SSO/SAML)

Benefits & Perks

Fully remote work with global team collaboration

Competitive compensation (salary range shared in first interview)

Career development opportunities in AI and enterprise systems

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Nice to Have

Experience with BI tools (Power BI, Tableau, Looker)

Familiarity with semantic search, embeddings, or vector databases (Pinecone, pgvector)

Exposure to event-driven architectures (Kafka, Kinesis) or containerization (Docker, ECS)

Knowledge of dbt, SQLMesh, or similar data transformation frameworks

Interest in leveraging LLMs to accelerate data engineering workflows

Job Description

Stravito transforms how Consumer Insights professionals and Brand Managers work by building AI that automates their core workflows. We help world-leading organizations across industries accelerate strategic decision-making by turning millions of market research documents into intelligent systems that generate reports, discover insights proactively, and synthesize knowledge across vast content libraries.The data platform underneath makes all of this possible: ingesting millions of documents, enforcing tenant-level security, and feeding the AI systems our customers rely on daily.

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