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Anblicks

Solution Architect

Anblicks, Dallas, Texas, United States, 75215

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Data & Analytics Architect – Snowflake The organization is initiating a data-platform modernization program for its Commercial Real Estate (CRE) analytics ecosystem. The engagement begins with a

one-month discovery and assessment phase

to evaluate existing systems, identify gaps, and define a future-state data platform on

Snowflake .

The Data & Analytics Architect will play a

key leadership role

by conducting technical discovery, guiding architecture decisions, and producing a clear modernization roadmap that incorporates

enterprise data management and observability capabilities .

Key Responsibilities

Lead

technical and business discovery sessions

to understand current data sources, workflows, and reporting processes

Assess the

current-state data architecture , including ingestion, transformation, storage, analytics, and data management practices

Evaluate existing

Data Quality (DQ), Data Governance (DG), Master/Reference Data Management (MDM), and Data Observability (DO)

maturity

Identify gaps related to

scalability, data quality, governance, lineage, monitoring, and manual processes

Design the

future-state Snowflake-based data architecture , including Bronze/Silver/Gold layers

Define how

DQ rules, DG policies, MDM integration, and observability frameworks

integrate with the Snowflake platform

Recommend modernization strategies for legacy systems, spreadsheets, and siloed reporting

Translate business requirements into

clear architectural recommendations and trade-offs

Key Discovery Deliverables

Current-state assessment

Gap analysis (architecture + data management)

Future-state architecture diagrams

High-level modernization roadmap

Required Qualifications

10+ years of experience in

data architecture, data engineering, or analytics architecture

Strong hands-on experience with

Snowflake

(data modeling, performance, security, cost optimization)

Proven experience leading

discovery or assessment phases

for data modernization initiatives

Solid understanding of enterprise data management concepts, including:

Data Quality (DQ)

Data Governance (DG) and stewardship models

Master and Reference Data Management (MDM)

Data Observability (monitoring, alerting, anomaly detection)

Strong knowledge of

ETL/ELT patterns, cloud data platforms, and analytical data modeling

Ability to operate in

ambiguous environments

and drive clarity through structured assessment

Strong stakeholder communication and documentation skills

Seniority level Mid-Senior level

Employment type Full-time

Job function Engineering and Information Technology

Industry IT Services and IT Consulting

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