Description

Required Skills & Experience:

12+ years of experience in Data Architecture, Data Engineering, Data Warehousing, or related fields

Strong expertise in Data Modeling (Conceptual, Logical, and Physical)

Experience designing and implementing Data Warehouses, Data Lakes, and Lakehouse architectures

Hands-on experience with SQL and databases such as Oracle, SQL Server, PostgreSQL, MySQL, Snowflake, Teradata, or DB2

Strong knowledge of ETL/ELT frameworks and data integration methodologies

Experience with cloud platforms such as AWS, Azure, and/or GCP

Knowledge of Big Data technologies including Spark, Databricks, Kafka, and Hadoop

Experience with Data Governance, Data Quality, Metadata Management, and Master Data Management (MDM)

Strong understanding of data security, compliance, and best practices

Excellent problem-solving, stakeholder management, and communication skills

Preferred Qualifications:

Experience with Snowflake, Databricks, Redshift, Synapse, or BigQuery

Familiarity with Data Mesh, Data Fabric, and modern data architecture frameworks

Experience supporting enterprise analytics and reporting platforms

Cloud or Data-related certifications preferred

Responsibilities:

• Design and develop scalable enterprise data architectures.
• Create and maintain conceptual, logical, and physical data models.
• Architect cloud-based data platforms and modern data ecosystems.
• Define data integration, migration, and modernization strategies.
• Establish data governance, quality, security, and compliance standards.
• Collaborate with business stakeholders, architects, and engineering teams.
• Provide technical leadership and architectural guidance across projects.
• Evaluate emerging technologies and recommend innovative solutions

Key Skills

Education

Bachelor's degree