Data Architect
1 week ago
About the Role
Key Responsibilities
- Lead end-to-end design and architecture of enterprise-scale data solutions across cloud and hybrid environments.
- Define and implement data strategies, governance, and architecture best practices aligned to business needs.
- Architect and optimize data pipelines, ETL/ELT frameworks, and real-time data processing solutions.
- Provide technical leadership for building data lakes, warehouses, and advanced analytics platforms.
- Collaborate with business stakeholders, product owners, and engineering teams to translate requirements into scalable solutions.
- Evaluate and recommend tools, frameworks, and cloud-native services for data integration, storage, and consumption.
- Ensure data security, compliance, and governance practices are embedded in all solutions.
- Mentor teams on modern data architecture patterns including data mesh and domain-driven data ownership.
- Act as a trusted client advisor by presenting solution designs, conducting workshops, and driving architecture discussions.
- 15–22 years of IT experience, with a minimum of 5+ years in data architecture roles.
- Strong expertise in data processing frameworks and ETL/ELT pipeline development.
- Proven experience in architecting and deploying solutions on AWS and Azure cloud platforms.
- Hands-on expertise in data integration, real-time streaming, and API-based data access.
- Proficiency in data modelling (structured, semi-structured, and unstructured).
- Deep understanding of data lakes, data warehouses, and modern data architecture patterns (data mesh, lakehouse, etc.).
- Experience with tools such as Apache Airflow, AWS Glue, Databricks, Azure Synapse, Redshift, or equivalent.
- Knowledge of data security, compliance, and governance in large-scale enterprise environments.
- Excellent leadership, stakeholder management, and communication skills with experience in client-facing roles.
- Exposure to AI/ML data pipelines and advanced analytics platforms.
- Experience in multi-cloud environments and hybrid data architectures.
- Knowledge of emerging trends in data observability, data fabric, and metadata management.
Standard Company Benefits
- Opportunity to work on cutting-edge enterprise data transformation programs.
- Collaborate with global clients across diverse industries.
- Be a thought leader and drive innovation in modern data architecture.
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