Description
About the job
We are looking for a highly experienced Technical Architect to own and drive the end-to-end design of our data ecosystem.
This role will be responsible for assessing our current data landscape, identifying gaps and bottlenecks, and defining a scalable future-state architecture that enables seamless integration of data from multiple disparate sources.
The ideal candidate will bring deep expertise in data architecture, data modeling, and modern data platforms, with a strong focus on building robust, scalable, and future-ready data solutions.
Key Responsibilities
- Architectural Ownership
- Define and own the enterprise data architecture strategy and roadmap.
- Analyze the current data environment and design a future-state architecture aligned with business goals.
- Ensure scalability, reliability, and performance of data systems.
Data Design & Modeling
- Design conceptual, logical, and physical data models.
- Establish standards for data modeling, governance, and data quality.
- Enable unified data access across structured and unstructured data sources.
Data Integration & Pipelines
- Architect and oversee data ingestion, transformation, and processing pipelines.
- Design solutions for integrating data from multiple, disparate sources into a cohesive platform.
- Ensure efficient data flow across systems (batch and real-time).
Platform & Technology Leadership
- Evaluate, select, and implement modern data technologies and tools.
Provide Deep Expertise In
- Data Warehousing solutions (e.g., Snowflake)
- Data Lakes and Lakehouse architectures
- Streaming platforms (e.g., Kafka)
- ETL/ELT tools and frameworks
- Optimize architecture for performance, cost, and scalability.
- Governance & Best Practices
- Establish data governance frameworks, including data quality, lineage, and security.
- Define standards and best practices for data architecture and engineering teams.
- Ensure compliance with data regulations and security standards.
- Collaboration & Leadership
- Work closely with Data Engineers, Analysts, Product, and Business stakeholders.
- Translate business requirements into scalable technical solutions.
- Mentor and guide engineering teams on architectural best practices.
Required Skills & Qualifications
- 8+ years of experience in data engineering, data architecture, or related roles.
- Strong expertise in designing large-scale data architectures.
Deep Understanding Of
- Data Warehousing (e.g., Snowflake, Redshift, BigQuery)
- Data Lakes (e.g., S3, ADLS, Hadoop ecosystems)
- Streaming platforms (e.g., Kafka)
- ETL/ELT pipelines and orchestration tools
- Proficiency in data modeling techniques (dimensional, normalized, etc.)
- Experience with cloud platforms (AWS, Azure, or GCP).
- Strong understanding of distributed systems and big data technologies.
- Experience with data governance, security, and compliance frameworks
(ref:hirist.tech)
