Data Architect

Overview

Our client is seeking a Data Architect to design, build, and govern scalable data architectures that enable reliable analytics, reporting, and data-driven decision-making across the organization. This role is responsible for defining data strategy, architecture standards, and data models that support current business needs while scaling for future growth. The Data Architect will partner closely with Engineering, Analytics, Product, and Business teams to ensure data systems are performant, secure, and aligned with organizational goals.

The ideal candidate is a strategic yet hands-on data leader with deep technical expertise, strong architectural judgment, and experience building modern data platforms in fast-paced, product-driven environments.

Key Responsibilities

- Design and maintain enterprise-level data architectures, including data warehouses, data lakes, and data pipelines.

- Define data modeling standards, schemas, and best practices to support analytics, reporting, and operational use cases.

- Partner with Data Engineers and Software Engineers to ensure scalable, reliable, and performant data pipelines.

- Collaborate with Analytics, Product, and Business stakeholders to translate data requirements into technical solutions.

- Establish data governance, quality, security, and compliance frameworks across systems and teams.

- Evaluate, select, and optimize data technologies, tools, and platforms.

- Ensure data architectures support scalability, availability, and cost efficiency.

- Lead architectural reviews and provide guidance on data-related design decisions.

- Document data architectures, flows, and standards to promote consistency and knowledge sharing.

- Advocate for data best practices and continuous improvement across the organization.

Operating Context

- Operates within a data-driven, technology-focused organization with evolving analytical and operational needs.

- Works cross-functionally with Data Engineering, Analytics, Product, Engineering, Security, and Business teams.

- Balances strategic data architecture planning with hands-on technical guidance and problem-solving.

- Typically operates in a remote or hybrid environment using modern cloud and data platforms.

Required Skills

- Strong experience in data architecture and data platform design.

- Expertise in data modeling concepts (dimensional, relational, and analytical models).

- Hands-on experience with modern data warehouses and data lakes (e.g., Snowflake, BigQuery, Redshift, Databricks).

- Proficiency with SQL and strong understanding of ETL/ELT patterns and data pipelines.

- Experience with cloud platforms (AWS, Azure, or GCP).

- Knowledge of data governance, data quality, security, and privacy best practices.

- Strong analytical and problem-solving skills with attention to detail.

- Excellent communication skills, able to collaborate with both technical and non-technical stakeholders.

Preferred Qualifications

- 6–10 years of experience in Data Architecture, Data Engineering, or related roles.

- Experience in SaaS, cloud-native, or data-intensive organizations.

- Familiarity with big data technologies and streaming platforms (e.g., Spark, Kafka).

- Experience supporting BI, analytics, and machine learning use cases.

- Exposure to metadata management, data catalogs, and lineage tools.

- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Success Metrics

- Scalable, reliable, and well-documented data architecture supporting business needs.

- High data quality, consistency, and trust across analytics and reporting platforms.

- Improved performance and cost efficiency of data systems.

- Strong alignment between data architecture and business strategy.

- Increased adoption and effectiveness of data-driven decision-making across teams.

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