The Principal Technical Architect (Big Data) will serve as the strategic technical leader, responsible for designing, validating, and implementing robust and scalable architectures for our data analytics and AI solutions. The role will involve close collaboration with product, engineering, and sales teams to ensure alignment between business objectives and technology solutions.
Responsibilities
Key Responsibilities:
- Define and enforce data architecture and standards and best practices to ensure quality, scalability, performance, and data integrity.
- Perform technical assessments to determine hardware requirements and sizing for big data workloads (storage, compute, networking).
- Design robust and scalable data ingestion, transformation, and storage pipelines using modern big data technologies.
- Provide guidance, mentorship, and technical oversight of data engineering teams to ensure efficient implementation on client’s sites.
- Collaborate with platform core development team as subject matter expert on enhancing data management and processing components – identify gaps and improvements, create feature requests, evaluate new releases, and conduct code reviews.
- Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.
Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- Master's degree is preferred.
Experience
- Minimum 10 years of experience working in data-intensive projects as a Big Data Engineer / Architect.
- Strong expertise in big data modeling and architecture best practices, proficiency in designing scalable data pipelines and integration workflows.
- Excellent knowledge of modern big data methodologies and technologies, including ingestion, batch and streaming processing, storage, and querying (Spark, Kafka, Trino, Clickhouse, S3, or similar).
- Experience estimating hardware and infrastructure sizing for various analytics workloads.
Skills
- Solid computer science fundamentals, fluent in SQL and one of the general programming languages (Java, Python).
- Strong leadership, communication, and stakeholder management skills.
Preferred Qualifications
- Software development experience – familiarity with product development lifecycle, hands-on coding/code review skills.
- Relevant certifications (e.g., AWS Solutions Architect, Azure Solutions Architect, TOGAF).
- Experience with big data technologies and analytics platforms (e.g., Spark, Hadoop, Kafka, Databricks, Snowflake).
- Experience in a customer-facing technical role, providing technical guidance during sales cycles or customer engagements.
Work Conditions
Join us at Presight, where we offer a culture of innovation, outstanding career growth opportunities, and competitive rewards. If you're eager to conquer new frontiers in AI and thrive in a dynamic environment, we welcome you to our community.
What working at Presight offers:
- Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on groundbreaking, industry-first innovations.
- Career: Accelerate your career through high-impact projects and access to resources for continuous growth and learning opportunities.
- Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits, and more.
