Description :

Overview :

We are seeking an experienced Data Architect to lead the design, governance, and evolution of our enterprise data ecosystem.

This role will be responsible for defining robust data architecture frameworks, building scalable data models, and ensuring alignment across our data platformsincluding Enterprise Data Warehouses (EDW), Lakehouse architectures, and modern data fabric solutions.

The ideal candidate possesses deep hands-on technical expertise, strong strategic thinking, and the ability to guide multidisciplinary data teams in building high-quality, future-ready data solutions.

Key Responsibilities :

- Define, develop, and maintain enterprise data architecture, including standards, guidelines, and reusable design patterns.

- Develop long-term data platform roadmaps, ensuring alignment with enterprise goals, data governance policies, and technology modernization initiatives.

- Establish architectural principles to support analytics, data science, AI/ML, and real-time decisioning.

- Design conceptual, logical, and physical data models for EDW, Lakehouse, and Modern Data Fabric environments.

- Ensure data models support cross-functional business needs, high-performance analytics, and scalable data ingestion.

- Conduct model reviews, enforce modeling standards, and optimize data schemas for performance and cost efficiency.

- Architect end-to-end data solutions across cloud platforms (AWS, Azure, GCP).

- Support and guide implementation of Snowflake, Databricks, and other cloud-native data platforms.

- Lead architecture decisions related to data ingestion, transformation, orchestration, storage, governance, security, and access controls.

- Evaluate and integrate emerging technologies (data virtualization, streaming platforms, AI-driven data quality, etc.

- Partner closely with data engineering, analytics, product, and business teams to translate business requirements into scalable data solutions.

- Provide architectural oversight and mentoring to data engineers, analysts, and BI teams.

- Participate in design reviews, technical architecture forums, and cross-functional governance boards.

- Communicate architectural recommendations and trade-offs to stakeholders and senior leadership.

- Enforce data architecture best practices, data governance policies, and security standards.

- Establish and maintain metadata standards, lineage tracking, and data catalog integrations.

- Ensure solutions are compliant with regulatory and security requirements (GDPR, HIPAA, SOC2, etc., depending on industry).

- Advocate for strong data quality frameworks, data stewardship, and automated validation processes.

- ERWin, PowerDesigner, or similar enterprise modeling platforms :

- AWS (S3, Glue, Redshift, Lake Formation)

- Azure (ADF, Synapse, Purview, Databricks)

- GCP (BigQuery, Dataflow, Dataproc)

Data Engineering & Transformation :

- dbt, Snowflake, Databricks, Apache Spark, Kafka, Airflow, Fivetran, Informatica, Matillion.

- Collibra, Alation, Informatica Data Quality, Monte Carlo, Great Expectations :

Preferred Certifications :

- CDMP (DAMA)

- Snowflake Architect

- Databricks Data Engineer or Architect

- AWS/Azure/GCP Data Specialty (preferred but not required)

Required Qualifications :

- Bachelors or Masters degree in Computer Science, Data Management, Information Systems, or a related field.

- 10+ years of experience in data architecture, data modeling, and enterprise data systems.

- Demonstrated expertise designing and building data solutions using Snowflake, Databricks, or cloud data warehouses.

- Strong knowledge of relational, dimensional, and NoSQL data modeling.

- Proficiency in SQL and familiarity with Python or Scala is a plus.

- Experience working in Agile and DevOps-driven environments