Sr Solution Architect, Data and Analytics

About the position

The Sr Architect for Data and Analytics will play a critical role in shaping the future of data-driven decision making across our global manufacturing chemical company. This individual will be responsible for designing and implementing a robust and scalable data and analytics architecture that supports advanced analytics, machine learning, and artificial intelligence initiatives. The ideal candidate will have a deep understanding of data warehousing, data lakes, data integration, and cloud-based data platforms. They will also possess strong leadership and communication skills to collaborate effectively with business stakeholders, data scientists, and IT teams.

Responsibilities

• Provide technical expertise on designing and implementing a robust and scalable data and analytics architecture.
• Lead the implementation of data and analytics solutions, including data integration, data modeling, and report development.
• Stay abreast of emerging data and analytics technologies and identify opportunities for innovation within the company.
• Define and implement the overall data and analytics architecture, ensuring alignment with business requirements and technology trends.
• Establish data governance policies, data quality standards, and data security protocols.
• Evaluate and recommend appropriate data and analytics technologies, including cloud platforms, data warehousing solutions, and data visualization tools.
• Monitor and optimize the performance of data and analytics systems to ensure efficient and effective operations.
• Work closely with business stakeholders to understand their data and analytics needs and translate them into actionable solutions.
• Provide guidance and mentorship to offshore development team.

Requirements

• Deep understanding of data warehousing, data lakes, data integration, ETL, and cloud-based data platforms (e.g., GCP, SAP BTP, Azure).
• Very strong proficiency in SQL for data analytics.
• Experience with data visualization tools like SAP SAC, Power BI, Tableau.
• Familiarity with machine learning and AI concepts is a plus.
• Experience in SAP Analytics tools is a Plus for ex HANA Data modelling, SAP SAC/Data Sphere, SAP BODS and Strong knowledge of SQL query language.
• Excellent communication, collaboration, and leadership skills.
• Ability to translate complex technical concepts into business terms.
• Strong problem-solving and analytical skills.
• Ability to coordinate remote teams and work effectively with an offshore, outsourcing provider.

Nice-to-haves

• Bachelor's degree in computer science, Information Technology, or a related field. Advanced degree preferred.
• Knowledge of other modules of SAP.
• Analytics Certifications from GCP/SAP/Azure preferred.

Benefits

• Medical, Dental, Vision Insurance
• Life Insurance and Disability
• Grace Wellness Program
• Flexible Workplace
• Retirement Plans
• 401(k) Company Match - Dollar to dollar up to the first 6%
• Paid Vacation and Holidays
• Parental Leave (salaried only)
• Tuition Reimbursement