DATA ARCHITECT - Data Architecture

Data Architect

Location: SMILES 10, Noida

Years of Experience: 10-13 Years

Job Summary: We are seeking an experienced Data Architect to define and own the end-to-end Data Lakehouse architecture using Databricks and cloud-native services. The ideal candidate will have a strong background in data architecture, data warehousing, and analytics solutions, with a focus on designing scalable data ingestion, transformation, storage, and consumption patterns for both structured and unstructured data.

Key Responsibilities

• Define and own the end-to-end Data Lakehouse architecture using Databricks and cloud-native services.
• Design scalable data ingestion, transformation, storage, and consumption patterns for structured and unstructured data.
• Establish data modeling standards, including conceptual, logical, and physical data models.
• Design and implement Medallion Architecture (Bronze, Silver, Gold layers) and Delta Lake best practices.
• Define data governance, data quality, metadata management, lineage, and security frameworks.
• Collaborate with business and technical stakeholders to translate business requirements into data architecture solutions.
• Lead architecture reviews, design workshops, and technical decision-making.
• Provide guidance to Data Engineering teams on ETL/ELT pipelines, performance optimization, and best practices.
• Enable advanced analytics, AI/ML, and BI use cases through well-designed data platforms.
• Ensure compliance with enterprise security, privacy, and regulatory requirements.
• Develop architecture roadmaps, standards, and reusable design patterns.
• Evaluate emerging technologies and recommend innovations to improve the data platform.

Mandatory Skills

• 12-15 years of experience in Data Architecture, Data Warehousing, and Analytics solutions.
• Hands-on experience designing and implementing Azure Databricks Lakehouse architectures.
• Strong knowledge of Delta Lake, Unity, Azure Databricks, and Lakehouse architecture patterns.
• Experience with cloud platforms such as Azure Cloud, AWS, or GCP.
• Expertise in Data Modelling, Integrations, ETL/ELT design, and Data Governance.
• Strong understanding of Big Data technologies, distributed processing, and performance tuning.
• Experience integrating data from ERP Integration Support, CRM 2013, IOT, operational databases, CTI Integration, and third-party systems.
• Familiarity with DW/BI and analytics tools such as Power BI, Tableau, or Google Analytics.

Preferred Skills

• Experience with Azure Databricks, Azure Data Factory, Azure Synapse Analytics, and Azure Service Fabric.
• Knowledge of AI for Learning platforms and MLOps architectures.
• Experience with streaming and real-time analytics using Kafka Stream, Event Hub, or similar technologies.
• Cloud certifications in Azure, AWS, Azure Databricks, or equivalent.
• Experience leading enterprise data modernization and migration initiatives.

Qualifications

We are looking for a candidate who is not only technically proficient but also possesses strong communication and collaboration skills to work effectively with cross-functional teams. If you are passionate about data architecture and eager to drive innovation in our data platform, we encourage you to apply.