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Senior Cloud Data Architect
hace 1 mes
Transforming Businesses with AI and Big Data
About Provectus
Provectus empowers organizations to unlock the full potential of Artificial Intelligence (AI) and Big Data. With a strong focus on building scalable ML Infrastructure, our team assists businesses in adopting the right AI use cases and scaling their AI initiatives organization-wide across various industries.
Solution Architect Role
We are seeking an experienced Solutions Architect to join our team. As a key member, you will be responsible for designing, planning, and implementing cloud-based data and AI architectures that meet customer needs.
Key Responsibilities
- Data and AI Architecture Design: Lead the design and implementation of scalable data and AI/ML architecture solutions across cloud and on-premise platforms.
- Customer Engagements: Lead complex customer engagements, providing strategic technical vision and aligning solutions with customer business goals.
- Relationship Building: Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.
- Technical Workshops: Lead technical workshops, training sessions, and presentations.
- Data Lifecycle Processes: Define and execute data lifecycle processes: ingestion, storage, processing, and visualization.
- Streaming Data Solutions: Develop and maintain streaming data solutions using Lambda/Kappa architectures, Kafka, Spark, and Flink.
- Business Alignment: Collaborate with business units and stakeholders to align solutions with business goals.
- Solution Adherence: Ensure solutions adhere to security, compliance, and architecture frameworks (e.g., AWS Well-Architected, GCP Architecture Framework).
- Team Leadership: Lead cross-functional teams, providing mentorship and guidance to technical talent.
- Emerging Technologies: Design and execute proofs of concept for emerging technologies like Generative AI, Machine Learning.
- MLOps Best Practices: Drive MLOps best practices for scalable and maintainable machine learning pipelines.
- Data Governance: Oversee data governance and data quality processes across platforms.
Requirements
- 7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms (AWS, GCP, Azure).
- 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 AWS, GCP, or Azure data stack.
- 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 (TensorFlow, PyTorch, SageMaker).
- Demonstrated ability to lead and mentor cross-functional teams.
- Familiarity with agile methodologies.
Compensation Package
The estimated salary range for this position is $150,000 - $200,000 per year, depending on location and experience. We offer a comprehensive benefits package, including health insurance, retirement plan, and paid time off.