Data Architect

1 day ago


London, Greater London, United Kingdom Hakkoda Full time
Data Architecture and Engineering Expert

Hakkoda is a modern data consultancy that empowers data-driven organizations to realize the full value of the Snowflake Data Cloud.

We provide consulting and managed services in data architecture, data engineering, analytics, and data science. Our ideal candidate will have 6+ years of proven work experience in data warehousing/BI/analytics, with 3+ years as an architect and 3+ years working in cloud platforms.

The estimated salary for this role is $140,000 - $160,000 per year, depending on location and experience.

About Hakkoda:

  • We are a fast-paced, dynamic environment where everyone's input and efforts are valued.
  • Our team consists of passionate, forward-thinking engineers and data scientists who are charting a new course.

Job Description:

  • Data Architecture Design: Collaborate with clients to understand their business goals, data requirements, and technical constraints. Design scalable, high-performance data architectures using Snowflake to meet these requirements and align with industry best practices.
  • Data Modeling: Develop and maintain conceptual, logical, and physical data models, ensuring data integrity, consistency, and usability across the organization. Apply advanced data modeling techniques to optimize data structures for efficient storage, retrieval, and analysis.
  • Data Integration: Design and implement robust data integration solutions, including data ingestion, transformation, and cleansing processes. Utilize Snowflake's capabilities for data loading, change data capture (CDC), and data replication to ensure accurate and timely data availability.
  • Analytics and Reporting: Collaborate with data analysts and business intelligence teams to design and optimize data pipelines for analytics and reporting purposes. Implement data aggregation, summarization, and visualization techniques to enable effective data-driven decision-making.
  • Performance Optimization: Identify and resolve performance bottlenecks in data processing and query execution. Optimize data partitioning, clustering, and indexing strategies to improve query performance and reduce costs.
  • Data Governance and Security: Define and enforce data governance policies, ensuring data quality, privacy, and compliance with regulatory requirements. Implement appropriate access controls and encryption mechanisms to protect sensitive data stored in Snowflake.
  • Consulting and Client Engagement: Act as a trusted advisor to clients, providing technical guidance and expertise in data architecture and Snowflake. Lead workshops, presentations, and discussions to educate clients on best practices and drive successful project outcomes.
  • Research and Innovation: Stay up-to-date with the latest trends and advancements in data architecture, cloud technologies, and Snowflake. Evaluate and recommend new tools, techniques, and methodologies to enhance data architecture capabilities.

Benefits:

  • Medical, Dental, Vision
  • Life Insurance
  • Paid parental leave
  • Paid time off
  • Work from home benefits for 100% remote roles
  • Technical training and certifications
  • Robust learning and development opportunities


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