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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Akaasa Technologies - **Location:** Oak Park Heights, MN, United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Cloud Computing, Cluster Analysis, Code Review, Continuous Integration, Data Architecture, Data Infrastructure, Data Vault Modeling, Data Warehousing, DevOps, Fault Tolerance, Machine Learning, Metadata, Performance Tuning, Query Optimization, DataOps, Data Streaming, Data Classification, System Availability, Snowflake, Generative AI, Data Lineage, Star Schema, Data Pipelines, Serverless Computing - **Published:** May 27, 2026 - **Apply:** https://www.careerjet.com/jobad/usdd12f17ad355a10580a3436f1341e418 ## About the Role Experience: 8 10 years of experience building and optimizing large-scale, complex data architectures and pipelines. Core Stack: Expert-level command of Snowflake, dbt, and Fivetran. Cloud Infrastructure: Strong proficiency in Azure services (Storage, Compute, and DevOps/CI/CD). Modeling: Proven ability to engineer layered data frameworks using various modeling methodologies (e.g., Data Vault 2.0). Leadership: Experience guiding offshore teams and conducting technical code reviews to ensure consistency and adherence to patterns. Preferred "Good to Have" Skills AI/ML Enablement: Experience in building data foundations that enable Machine Learning and Generative AI use cases (e.g., Vector databases, feature stores). Advanced Governance: Experience with automated data privacy/masking and advanced metadata cataloging. If this role aligns with your background and interests, feel free to reply with your updated resume or availability to discuss further. ## Description We are seeking a seasoned Senior level data Engineer to lead technical execution and provide architectural guidance across our onshore and offshore engineering teams. In this role, you will be the primary technical point of contact, ensuring that complex data requirements are translated into scalable, resilient, and highly optimized solutions. You will not only build but also influence the standards for a modern data stack centered on Snowflake and Azure, driving "Governance as Code" and operational excellence., 1. Technical Leadership & Cross-Shore Guidance Engineering Anchor: Act as the primary technical lead for distributed teams, ensuring clarity in requirements and maintaining high standards of execution across time zones. Architectural Blueprinting: Engage with Product Owners and Solution Architects to design optimal data product pipelines that serve as the foundational reference for the broader engineering team. Resilience Engineering: Design systems for high availability and fault tolerance, ensuring the data platform can recover gracefully from upstream failures. 2. Data Platform & Pipeline Engineering Modern Data Stack Mastery: Engineer and optimize full-lifecycle data pipelines using Fivetran, Snowflake, and dbt, focusing on large-scale, complex datasets. Metadata-Driven Automation: Design and implement config-driven or metadata-driven pipelines to increase development velocity and reduce manual overhead. Layered Frameworks: Apply advanced modeling techniques (Data Vault, Dimensional/Star Schema) to create high-performance, curated, reusable core datasets and purpose-built datasets optimized for analytics and AI. 3. Performance & Cost Optimization Snowflake Expert: Apply advanced proficiency in Snowflake performance tuning (clustering, warehouse profiling, query optimization) to minimize both latency and Azure consumption costs. End-to-End Efficiency: Monitor and tune the entire flow from ingestion to transformation to ensure the stack remains performant as data volumes scale. 4. Governance, Security & DataOps Governance as Code: Implement and validate automated data lineage, quality checks, and data classification within the CI/CD workflow. Observability & Health: Drive platform reliability by implementing end-to-end observability; proactively monitor data health and enforce rigorous quality gates using dbt. Azure Int-egration: Manage and optimize data flows within the Azure ecosystem, leveraging Azure DevOps (ADO), Blob Storage, and Azure Functions. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)