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Data Architecture and Engineering Lead

Responsibilities:

• Lead Data Architecture: Own the design, evolution, and delivery of enterprise data architecture across cloud and hybrid environments. Develop relational and analytical data models (conceptual, logical, and physical) to support business needs and ensure data integrity.
• Consolidate Core Systems: Unify data sources across airport systems into a single analytical platform optimised for business value.
• Build Scalable Infrastructure: Architect cloud-native solutions that support both batch and streaming data workflows using tools like Databricks, Kafka, etc.
• Implement Governance Frameworks: Define and enforce enterprise-wide data standards for access control, privacy, quality, security, and lineage.
• Enable Metadata & Cataloguing: Deploy metadata management and cataloguing tools to enhance data discoverability and self-service analytics.
• Operationalise AI/ML Pipelines: Lead data architecture that supports AI/ML initiatives, including forecasting, pricing models, and personalisation.
• Partner Across Functions: Translate business needs into data architecture solutions by collaborating with leaders in Operations, Finance, HR, Legal, Technology.
• Optimize Cloud Cost & Performance: Roll out compute and storage systems that balance cost efficiency, performance, and observability across platforms.

Qualifications:

• 12+ years of experience in data architecture, with 3+ years in a senior or leadership role across cloud or hybrid environments
• Proven ability to design and scale large data platforms supporting analytics, real-time reporting, and AI/ML use cases
• Hands-on expertise with ingestion, transformation, and orchestration pipelines
• Extensive experience with Microsoft Azure data services, including Azure Data Lake Storage, Azure Databricks, Azure Data Factory and related technologies.
• Strong knowledge of ERP data models, especially SAP and MS Dynamics
• Experience with data governance, compliance (GDPR/CCPA), metadata cataloguing, and security practices
• Familiarity with distributed systems and streaming frameworks like Spark or Flink
• Strong stakeholder management and communication skills, with the ability to influence both technical and business teams

Tools & Technologies

• Warehousing: Azure Databricks Delta, BigQuery
• Big Data: Apache Spark
• Cloud Platforms: Azure (ADLS, AKS, EventHub, ServiceBus)
• Streaming: Kafka, Pub/Sub
• RDBMS: PostgreSQL, MS SQL
• NoSQL: Redis
• Monitoring: Azure Monitoring, App Insight, Prometheus, Grafana

• Responsibilities:
• Conduct thorough research on industry-related topics and stay up to date with the latest trends and best practices. 
• Develop and implement content strategies to drive brand awareness, lead generation, and customer engagement. 
• Collaborate with cross-functional teams, including marketing, design, and development, to ensure content alignment with brand guidelines and business objectives. 
• Optimize content for search engines (SEO) to improve organic visibility and drive traffic to our website.

Profile: To find and service new export, import clients for their freight forward needs. Managing transporters, and CHAs. 

B2B sales calls. 

Based out of Ahmedabad, Gujarat. 

Graduate ,  diploma in import, export. 

Good communication skills, can speak  English

Basic skills in Microsoft Office

Rules & Responsibilities:

Skills :

• Familiarity with the http://asp.net/">ASP.NET framework, SQL Server and design.
• Hands on experience using C# .NET, MVC, Oops Concept, Jquery, Bootstrap.
• Knowledge of  .NET languages 
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Strong attention to detail
• Excellent troubleshooting and communication skills
• Knowledge of REST and RPC APIs
• Angular will be an advantage
• Able to work well in a team setting