Senior Solution Architect

Job Title: Senior Solution Architect

Location: Franklin Lakes, NJ (Onsite)

Role Overview:

We are seeking a highly experienced Senior Solution Architect to lead the design and execution of enterprise-scale data and technology solutions. This role will be responsible for shaping the overall architecture strategy, driving innovation across data platforms, and ensuring alignment between business objectives and technical implementations. The ideal candidate will bring deep expertise in modern data architectures, cloud technologies, and cross-functional leadership.

Core Responsibilities:

• Define and drive the long-term technology and data strategy, ensuring delivery of scalable solutions that generate continuous business value
• Design and oversee end-to-end data ecosystems, integrating tools such as AWS Glue, Snowflake, Kafka, and other platforms for both real-time and batch data processing
• Establish and enforce architecture standards, governance models, and best practices across data, security, and quality domains
• Collaborate closely with data engineers, architects, DevOps, and business stakeholders to ensure cohesive and scalable solution design
• Lead architecture reviews and solution design sessions to ensure alignment with enterprise standards
• Identify technical risks, performance bottlenecks, and scalability challenges, and validate solutions through Proofs of Concept (PoCs)
• Translate business requirements into technical architecture blueprints and communicate effectively with senior leadership
• Drive data integration strategies, including APIs, streaming pipelines, and ETL/ELT frameworks
• Ensure system performance, reliability, and scalability across distributed environments
• Provide technical leadership and mentorship to engineering and architecture teams

Required Skills & Experience:

• 12+ years of overall IT experience, including 5+ years in architecture or leadership roles focused on large-scale data platforms
• Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud, including data services and hybrid architectures
• Deep understanding of modern data architectures such as Data Mesh, Data Lakehouse, and real-time streaming frameworks (e.g., Kafka)
• Experience with data warehousing and big data technologies (e.g., Snowflake, Redshift, BigQuery)
• Strong knowledge of data modeling, ETL/ELT processes, and distributed systems
• Experience implementing data governance, security, and compliance frameworks (PII, CCPA, SOX, HIPAA)
• Excellent communication and stakeholder management skills, with the ability to influence executive decisions
• Proven ability to lead cross-functional teams and manage complex technical programs

Preferred Qualifications & Certifications:

• Familiarity with enterprise architecture frameworks such as TOGAF
• Cloud certifications such as AWS Certified Solutions Architect – Professional or Azure Solutions Architect Expert
• DAMA Certified Data Management Professional (CDMP) or similar data certifications
• Experience in regulated industries such as healthcare, finance, or pharmaceuticals
• Master’s degree in Computer Science, Information Systems, or related field.