Senior Principal

Role Overview As a Senior Data Solutions Architect in the Business Analytics, Automation & AI team, you will be responsible for architecting and delivering comprehensive, end-to-end data solutions across cloud and on-premises platforms in Business Intelligence and Artificial Intelligence domains. Your focus will include leading strategic data migration automation initiatives that optimize and automate the transfer of ERP, CRM, and other enterprise data to modern data platforms, ensuring data cleansing and high-quality, reliable datasets. This hands-on role also involves establishing and managing a small, high-performing team of data engineers and analysts that thrives on streamlined processes and rapid innovation. Leveraging an IT consulting mindset, experience with global enterprises and complex data ecosystems, you will inspire and nurture technical talent, driving a culture of continuous learning and development. As a leader, you will foster ambition and accountability through goal-oriented frameworks and actively contribute to transformative organizational initiatives that push beyond business as usual, pioneering digitization and data-driven transformation within the company. Key Responsibilities Architect and deliver end-to-end data solutions across cloud and on-premises platforms, including AWS, Azure, Informatica, etc. Lead strategic data migration automation initiatives, optimizing and automating the movement of ERP, CRM, and other enterprise data to modern data platforms. Drive business intelligence transformation, ensuring robust data models, efficient ETL pipelines, and scalable analytics architectures for Enterprise BI needs. Build and manage AI data architectures that support AI workflows, including handling unstructured and semi-structured data, real-time data streams, and large-scale datasets for model training and inference. Implement advanced data preprocessing steps such as data cleaning, normalization, encoding categorical variables, feature engineering, and data enrichment to prepare data optimally for AI models. Manage and mentor a team of 10 data engineers and analysts, fostering skill development in BI and AI data technologies. Collaborate with business/function stakeholders to align data architecture with business goals, ensuring solutions meet both technical and operational requirements. Establish and enforce data governance, data quality, and data security frameworks, using tools like Collibra or similar. Participate in strategic project engagements, leveraging consulting expertise to define and propose best-fit solutions. Ensure compliance with regulatory and security standards, implementing access controls, encryption, and audit mechanisms. Required Skills & Qualifications Technical Expertise: Deep hands-on experience with Informatica, AWS (including S3, Redshift)/Azure, Databricks, and Big Data platforms. Strong proficiency in Python, SQL, and NoSQL for building scalable ETL/data pipelines and managing structured/unstructured data. Experience with data governance tools (e.g., Collibra), data modeling, and data warehouse design. Knowledge of Tableau/PowerBI/Alteryx is a must. Knowledge of ERP, CRM data structures, and integration patterns. Familiarity with AI/ML frameworks like TensorFlow, PyTorch, and LLM orchestration tools (e.g., LangChain, LlamaIndex) to support AI model workflows. Proven skills in building modular, scalable, and automated ETL/AI pipelines with robust data quality and security controls. Certifications: Certified Solutions Architect from AWS/Microsoft (Azure)/Google Cloud. Additional certifications in Databricks, or Informatica are a plus. Consulting Experience: Proven track record in an IT consulting environment, engaging with large enterprises and MNCs in strategic data solutioning projects. Strong stakeholder management, business needs assessment, and change management skills. Leadership & Soft Skills: Experience managing and mentoring small teams, developing technical skills in BI and AI data domains. Ability to influence and align cross-functional teams and stakeholders. Excellent communication, documentation, and presentation skills. Strong problem-solving, analytical thinking, and strategic vision. Preferred Experience Leading large-scale data migration and transformation programs for ERP/CRM systems. Implementing data governance and security policies across multi-cloud environments. Working with global clients in regulated industries. Driving adoption of modern data platforms and BI/AI/automation solutions in enterprise settings. Certifications AWS Certified Solutions Architect – Professional/ Microsoft Certified: Azure Solutions Architect Expert AWS Certified Data Engineer – Professional/Databricks Certified Data Engineer Professional Educational Qualifications: Master’s/bachelor’s degree in engineering or Master of Computer Applications is required. A Masters in Business Administration (MBA) is a plus. Schedule: Full-time Req: AWP