Solution Architect - Data Engineering

Solution Architect - Data Engineering

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Location:           New York, United States

Type:                 Full-time

Department:     Technology

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Summary

We are seeking a Solution Architect with a rich experience in designing and implementing data-driven solutions and strategies. This role requires a seasoned professional who can drive data architecture strategies, ensure the scalability of data systems, and work closely with C-suite leadership to align business and data solutions. The ideal candidate will possess a deep understanding of data platforms, cloud computing, data governance, and cutting-edge analytics technologies. The role requires a blend of technical acumen and strategic leadership, making it ideal for an expert with substantial senior management experience.

Responsibilities

• Architecting Data Solutions:
  • Lead the design, architecture, and implementation of complex data solutions, ensuring scalability, security, and optimal performance.
  • Develop high-level architecture frameworks and create detailed design specifications for large-scale, high-volume data systems.
  • Architect data pipelines, databases, and analytic solutions that align with the organization's long-term strategy.
  • Champion cloud-based and on-premises solutions, with expertise in platforms like AWS, Azure, GCP, and hybrid architectures.
• Strategic Leadership:
  • Collaborate with senior leadership and business stakeholders to define data-driven objectives and craft tailored solutions that meet business needs.
  • Provide strategic guidance on data architecture, analytics, and business intelligence technologies.
  • Influence decision-making at the executive level by offering innovative data strategies and solutions aligned with organizational goals.
  • Act as a trusted advisor to senior leadership, identifying opportunities for data monetization and value generation.
• Data Governance & Compliance:
  • Lead the development and enforcement of data governance frameworks, ensuring compliance with data privacy and security regulations.
  • Work with legal and compliance teams to ensure all data initiatives meet the necessary standards.
  • Oversee the management and documentation of data standards, policies, and best practices.
• Innovation & Technology Leadership:
  • Stay ahead of emerging data technologies, including machine learning, AI, and big data analytics, and provide recommendations on their integration.
  • Evaluate and recommend new tools, technologies, and approaches to optimize data operations and analytics capabilities.
  • Actively promote data innovation, guiding the team on evolving technologies and methodologies.
• Team & Stakeholder Management:
  • Mentor and lead a team of architects, engineers, and analysts, fostering a culture of innovation and continuous improvement.
  • Provide leadership and technical expertise to cross-functional teams during the development and implementation of data solutions.
  • Build and maintain strong relationships with key stakeholders, including senior executives, product managers, and business leaders.
• Budgeting and Resource Management:
  • Oversee the budget and resource allocation for data architecture and solution initiatives.
  • Drive efficiency in data operations while ensuring high standards of quality.

Eligibility Requirements

• Experience:
  • At least 10+ years experience in data architecture and solution design.
  • Proven track record of leading large-scale data-driven transformations and strategic data initiatives in complex environments.
  • Strong background in designing enterprise-level data architectures and analytics solutions.
  • Extensive experience working with senior leadership and cross-functional teams.
• Technical Skills:
  • Deep knowledge of data platforms, including relational, NoSQL, and distributed data stores.
  • Expertise in cloud-based data platforms such as AWS, Azure, or GCP.
  • Familiarity with big data technologies (e.g., Hadoop, Spark) and modern data pipelines (ETL, ELT).
  • Proficient in data modeling, data integration, and data visualization tools.
  • Strong understanding of data privacy, security, and governance best practices.
• Soft Skills:
  • Exceptional leadersh