Lead Enterprise Data Architect

Job Description

As a Data Architect, your primary responsibility is to define and drive the Enterprise Data Strategy. This involves developing and owning the strategic architecture for enterprise-scale data platforms, pipelines, and ecosystems to ensure alignment with business objectives and long-term scalability. Your key duties and responsibilities include:- Architecting High-Performance Data Solutions: Leading the design and implementation of robust, large-scale data solutions across multi-cloud environments (AWS, Azure, GCP) to optimize performance, reliability, and cost efficiency.- Establishing Engineering Excellence: Creating and enforcing best practices, coding standards, and architectural frameworks for data engineering teams to foster a culture of quality, automation, and continuous improvement.- Providing Technical Leadership and Mentorship: Acting as a trusted advisor and mentor to engineers across multiple teams and levels to guide technical decisions, career development, and knowledge sharing.- Aligning Data Strategy with Business Goals: Partnering with senior business and technology stakeholders to translate organizational objectives into actionable data strategies for measurable business impact.- Championing Modern Data Stack Adoption: Driving the adoption and integration of cutting-edge technologies such as Snowflake, DBT, Airflow, Kafka, Spark, and other orchestration and streaming tools to modernize data infrastructure.- Architecting and Optimizing Data Ecosystems: Designing and managing enterprise-grade data warehouses, data lakes, and real-time streaming pipelines to ensure scalability, security, and high availability.- Implementing Enterprise Testing and Observability: Establishing rigorous testing, validation, monitoring, and observability frameworks to guarantee data integrity, reliability, and compliance across all environments.- Ensuring Governance and Compliance: Overseeing data governance initiatives, including lineage tracking, security protocols, regulatory compliance, and privacy standards across platforms.- Enabling Cross-Functional Collaboration: Working closely with analytics, data science, and product teams to deliver trusted, business-ready data that accelerates insights and decision-making.- Providing Thought Leadership: Staying ahead of emerging technologies and industry trends to influence enterprise data strategy and advocate for innovative solutions that drive competitive advantage.- Leading Enterprise-Scale Deployments: Overseeing large-scale data platform deployments to ensure operational excellence, scalability, and cost optimization for global business needs.In terms of qualifications, you should have:Basic Qualifications:- Bachelors degree in Computer Science, Information Systems, Engineering, or a related field (Masters or equivalent advanced degree preferred)- 1115 years of progressive experience in data engineering or related fields- Deep expertise in SQL, data warehousing, and large-scale data modeling- Minimum 5 years of experience with Snowflake or another modern cloud data warehouse at scale- Minimum 3 years of experience with Python or equivalent programming languages for ETL/ELT and automation- Proven experience architecting data platforms on major cloud providers (AWS, Azure, or GCP)- Hands-on experience with orchestration tools (Airflow, ADF, Luigi, etc.) and data transformation frameworks (DBT)- Strong track record in designing and implementing large-scale data pipelines and solutions- Demonstrated experience leading cross-functional teams and mentoring senior engineers- Excellent communication skills for engaging with business stakeholders and cross-functional partnersPreferred Qualifications:- Expertise in Real-Time Data Processing- Hands-on experience with streaming platforms such as Apache Kafka, Spark Streaming, and Apache Flink- Solid DevOps and CI/CD Practices- Domain Knowledge in Retail and E-Commerce- Track Record of Driving Innovation- Experience in ML Ops and AI/ML Lifecycle- Strategic Alignment and Leadership- Technology Evangelism and Trend AwarenessBy meeting these qualifications and excelling in your duties, you will play a crucial role in shaping the data strategy and infrastructure of the company, driving innovation, and ensuring business success. As a Data Architect, your primary responsibility is to define and drive the Enterprise Data Strategy. This involves developing and owning the strategic architecture for enterprise-scale data platforms, pipelines, and ecosystems to ensure alignment with business objectives and long-term scalability. Your key duties and responsibilities include:- Architecting High-Performance Data Solutions: Leading the design and implementation of robust, large-scale data solutions across multi-cloud environments (AWS, Azure, GCP) to optimize performance, reliability, and cost efficiency.- Establishing Engineering Excellence: Creating and enforcing best practices, coding standards,

Keyskills :
SQLSnowflakePythonAutomationAWSAzureGCPAirflowDBTKafkaSparkData WarehousingData ModelingDevOpsRetailETLELTOrchestration ToolsData Transformation FrameworksRealTime Data ProcessingCICD PracticesECommerceML Ops