The Data Architect will be responsible for defining enterprise data strategies, building robust data solutions, and ensuring data quality, governance, security, and accessibility across the organization.
Key Responsibilities
- Design and implement scalable enterprise data architectures and data management solutions.
- Develop conceptual, logical, and physical data models to support business and technical requirements.
- Define data architecture standards, principles, frameworks, and best practices.
- Architect and optimize data warehouses, data lakes, and modern lakehouse platforms.
- Design end-to-end data integration, ETL/ELT pipelines, and data transformation solutions.
- Work with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Implement data governance, data quality, metadata management, and master data management strategies.
- Ensure data security, privacy, compliance, and access control across enterprise data platforms.
- Collaborate with business stakeholders, data engineers, data scientists, and application teams.
- Evaluate emerging data technologies and recommend solutions aligned with business objectives.
- Optimize data performance, scalability, availability, and cost efficiency.
- Provide technical leadership and architectural guidance to data engineering teams.
Required Skills & Qualifications
- 10+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Management.
- Strong expertise in SQL, relational databases, and NoSQL databases.
- Hands-on experience with data modeling tools and methodologies.
- Strong understanding of Data Warehousing, Data Lakes, and Lakehouse architectures.
- Experience with ETL/ELT tools such as Informatica, Talend, Azure Data Factory, or AWS Glue.
- Experience with cloud data platforms such as Azure, AWS, or GCP.
- Knowledge of big data technologies such as Apache Spark, Hadoop, and Kafka.
- Experience designing batch and real-time data processing architectures.
- Strong understanding of data governance, data quality, metadata management, and data security.
- Experience with database technologies such as Oracle, SQL Server, PostgreSQL, Snowflake, or Databricks.
- Excellent communication, analytical, problem-solving, and stakeholder management skills.
Preferred Qualifications
- Experience with Snowflake, Azure Databricks, Microsoft Fabric, or AWS Redshift.
- Knowledge of data mesh, data fabric, and domain-driven data architecture.
- Experience with CI/CD, Infrastructure as Code, and data DevOps practices.
- Familiarity with AI/ML data architectures and Generative AI data platforms.
- Relevant cloud certifications (AWS, Azure, or GCP).
