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Job Roles and Responsibilities
• Review and assess the current data platform architecture, identifying gaps, risks, and optimization opportunities. • Architect and design scalable, real-time data solutions aligned with business and operational needs. • Partner with business leaders across Finance, Accounting, Sales, and Operations to translate data requirements into technical solutions. • Build and maintain a modern, cloud-based data environment supporting enterprise analytics and AI initiatives. • Lead data engineering initiatives using SQL, Python, Databricks, Snowflake, and modern ELT/streaming patterns. • Apply data science methodologies using Python, Dataiku, and statistical modeling techniques. • Design and deploy machine learning pipelines, supporting model training, deployment, monitoring, and lifecycle management. • Serve as Data Governance SME, leveraging Alation for metadata management, cataloguing, lineage, and stewardship. • Administer Alation platform including user roles, permissions, workflows, policies, and automation. • Manage self-hosted Alation installations on Azure, including VM management, networking, firewalls, patching, and HA configurations. • Monitor Alation platform health, performance, usage, and implement upgrades and enhancements. • Collaborate with data stewards and governance teams to enforce data quality, metadata, security, and access standards. • Provide L1/L2 support for Alation users, delivering onboarding, training, documentation, and adoption programs. • Develop dashboards and executive-ready analytics using Power BI, Tableau, and Microsoft analytics tools. • Implement cloud-native solutions leveraging AWS (S3, Redshift, Glue, SageMaker) and Azure (Fabric, ADF, Synapse, SQL, Power BI). • Ensure compliance with security, privacy, disaster recovery, testing, and DevOps best practices across cloud platforms. • Act as technical or team lead, overseeing delivery, mentoring engineers, and ensuring high-quality outcomes. • Produce architectural designs, solution documentation, and knowledge-based artifacts for reuse and governance. • Contribute as a Centre of Excellence member, Microsoft Certified Trainer, and cloud/AI SME, coaching teams and driving continuous capability growth.
Technical Skills:
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