Senior Data Architect

hace 1 mes

Colombia Provectus IT, Inc. A tiempo completo
Data Architect

About Provectus IT, Inc.

We help companies adopt data and AI solutions to transform their operations, drive value, and stay competitive. Our focus is on building scalable and secure data infrastructure to support end-to-end AI transformations, assisting businesses in adopting the right AI use cases and scaling their AI initiatives organization-wide.

As a Solutions Architect, you will be responsible for designing, planning, and implementing cloud-based and on-premise data and AI architectures. You will collaborate with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments.

Key Responsibilities:

  • Lead the design and implementation of data and AI architecture solutions across cloud and on-premise platforms.
  • Lead complex customer engagements, providing strategic technical vision and aligning solutions with customer business goals.
  • Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.
  • Lead technical workshops, training sessions, and presentations.
  • Define and execute data lifecycle processes: ingestion, storage, processing, and visualization.
  • Develop and maintain streaming data solutions using Lambda/Kappa architectures, Kafka, Spark, and Flink.
  • Collaborate with business units and stakeholders to align solutions with business goals.
  • Ensure solutions adhere to security, compliance, and architecture frameworks.
  • Lead cross-functional teams, providing mentorship and guidance to technical talent.
  • Design and execute proofs of concept for emerging technologies like Generative AI, Machine Learning.

Requirements:

  • 7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms.
  • Excellent communication and problem-solving skills, with the ability to work across multiple projects and articulate complex technical concepts to both technical and non-technical audiences.
  • Technical sales or pre-sales experience with cloud and big data and ML solutions.
  • Strong leadership and team collaboration abilities.
  • Strategic thinking with a focus on delivering measurable business value.
  • Proven ability to build strong relationships with customers and act as a trusted advisor.
  • Proficiency in data engineering and analytics, designing data pipelines and architectures using cloud data stacks.
  • Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.
  • Proven experience with data lakes, data warehouses, and real-time data analytics.
  • Proficiency in Java, Python, and modern data technologies like Snowflake and Databricks.
  • Solid understanding of machine learning and MLOps tools.
  • Demonstrated ability to lead and mentor cross-functional teams.
  • Familiarity with agile methodologies.

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