# Data Architect - Talent Pipeline at Blue

> Remote · region unclear · Staff · Other · open. Source: https://alderhq.app/jobs/lever%3Ablue%3Ab941b6a7-e487-4774-91f2-2e285e75e197 (read 2026-11-04).

## Facts (observed)

- Company: [Blue](https://alderhq.app/companies/blue)
- Location text: Onshore
- Where it can be done from (inferred): Remote · region unclear (evidence: "Location: Onshore")
- Posted: 2026-07-29 (98 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.lever.co/blue/b941b6a7-e487-4774-91f2-2e285e75e197
- Skills listed (inferred): Python, AWS, GCP, Azure, Snowflake, dbt, SQL, LLMs

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches.

With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth.

We don't just strategize — we execute.

About the Role

BlueCloud is seeking an experienced Data Architect to lead the assessment, design, and modernization of enterprise data platforms, with a strong focus on Snowflake. This role combines architecture leadership, hands-on platform expertise, and direct client engagement.

You will define target-state architectures, assess existing data estates, establish modernization roadmaps, and guide multidisciplinary delivery teams through implementation. You will also help clients create secure, governed, cost-efficient, and AI-ready data platforms that support both current analytics requirements and future AI and context-layer initiatives.

The ideal candidate is a trusted technical advisor who can translate complex business requirements into practical architecture solutions and communicate effectively with engineering teams, business stakeholders, and executive sponsors.

Key Responsibilities

Lead the architecture, assessment, and modernization of enterprise Snowflake data platforms.

Define current-state and target-state architectures across data ingestion, transformation, storage, orchestration, governance, security, and consumption.

Lead inventories and assessments of Python-, SQL-, and stored-procedure-based pipelines, classifying workloads by business criticality, frequency, volume, runtime, reliability, and cost.

Analyze Snowflake usage telemetry to establish cost and performance baselines across pipelines, warehouses, and workloads.

Identify architectural and engineering anti-patterns, including procedural row-by-row processing, unnecessary full refreshes, missing incremental patterns, redundant transformations, warehouse mis-sizing, and insufficient workload isolation.

Recommend modernization strategies using set-based processing, incremental data patterns, Dynamic Tables, Streams and Tasks, Snowpark, dbt, and appropriate orchestration technologies.

Design scalable data models, governed data domains, semantic layers, and context models that support analytics and AI use cases.

Architect Snowflake Cortex solutions using capabilities such as Cortex Analyst, Cortex Search, and Cortex LLM functions.

Establish architectural standards for security, access control, data governance, lineage, observability, performance, resilience, and business continuity.

Design data lakehouse and real-time data-processing architectures across AWS, Azure, or GCP.

Evaluate and recommend appropriate use of Snowflake Iceberg Tables and other open data architecture patterns.

Build prioritized optimization backlogs and sequenced delivery roadmaps based on business impact, technical risk, cost, performance, and implementation effort.

Provide technical leadership across multiple concurrent projects and guide engineers, analysts, QA specialists, and DevOps teams.

Support project planning, estimation, scope definition, dependency management, risk mitigation, and technical governance.

Lead discovery workshops and interviews with client stakeholders and subject-matter experts.

Present architecture decisions, assessment findings, quantified impact projections, and roadmap recommendations to technical and executive audiences.

Act as a trusted advisor to clients throughout architecture and delivery engagements.

We are looking for someone who is experienced in building lasting relationships and is passionate about making meaningful contributions to our team. Don't be mistaken, this is a challenging career path but also highly rewarding. Are you up for the challenge? If so, stop reading and start applying.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/lever%3Ablue%3Ab941b6a7-e487-4774-91f2-2e285e75e197 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
