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Data Analysis
Data Architect, Lead Engineer
@Servant
[Hiring] Data Architect, Lead Engineer @Servant
Mar 29, 2025 - Servant is hiring a remote Data Architect, Lead Engineer. 💸 Salary: unspecified. 📍Location: USA.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
We’re seeking a Data Architect to serve as the technical leader responsible for designing and implementing scalable, flexible, and efficient data architectures. This role requires a deep understanding of modern data platforms, best practices, and performance optimization, while also embracing flexibility and creative problem-solving to deliver solutions quickly and effectively.
- Oversee end-to-end data architecture, ensuring governance, quality, security, and operational efficiency while collaborating with stakeholders across the organization.
- Provide hands-on technical leadership, guiding engineering teams in best practices for data management, integration, and analytics enablement.
Key Responsibilities and Accountabilities
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Data Architecture & Strategy
- Design and implement a scalable, high-performance, and secure data architecture that supports operational reporting, advanced analytics, and business intelligence.
- Integrate diverse data sources (e.g., Shopify, Funraise, Braze) into a unified architecture, ensuring seamless data flow across systems.
- Continuously assess and refine data models and infrastructure to align with evolving business needs and long-term objectives.
- Provide creative, efficient solutions for data challenges, balancing best practices with pragmatic decision-making.
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Data Platform & Engineering Leadership
- Lead the migration and modernization of data platforms, ensuring minimal downtime and data integrity.
- Guide data modeling, performance tuning, and storage optimization, ensuring scalability and efficiency.
- Establish best practices for ETL/ELT workflows, balancing automation, monitoring, and fault tolerance.
- Work with cloud-based data platforms (AWS, GCP, Azure) to design robust and cost-effective data solutions.
- Stay informed on emerging technologies and recommend improvements to the data ecosystem.
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Data Quality & Security
- Implement frameworks for data validation, monitoring, and anomaly detection to ensure reliability and trustworthiness.
- Document data lineage, metadata, and governance policies to promote transparency and usability.
- Develop comprehensive technical documentation for data architecture, pipelines, and governance processes.
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Cost Estimation & TCO
- Assess the cost implications of implementing and maintaining data solutions, considering factors such as infrastructure, licensing, operational expenses, and staffing requirements.
- Provide a holistic view of the total cost of ownership (TCO) for proposed architectures, ensuring solutions are scalable, efficient, and cost-effective.
- Collaborate with stakeholders to balance performance, security, and budgetary constraints while optimizing the long-term value of data investments.
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Collaboration & Leadership
- Act as a technical mentor and leader, guiding data engineers in architectural decisions and best practices.
- Work closely with business stakeholders to translate complex data requirements into practical, scalable solutions.
- Serve as a bridge between technical and non-technical teams, communicating ideas clearly and effectively.
Qualifications
- 8+ years of experience in data architecture, data engineering, or related fields, with a strong track record of designing and implementing scalable data solutions.
- Deep expertise in data modeling, performance tuning, and query optimization.
- Strong SQL and Python skills for developing and optimizing ETL/ELT workflows.
- Experience with modern data warehouses (e.g., Snowflake, BigQuery, Redshift, Databricks), but with the ability to apply general best practices across platforms.
- Expertise in ETL/ELT tools such as Fivetran, Stitch, dbt, or Airflow.
- Strong understanding of data quality, lineage tracking, and governance best practices.
- Experience with cloud platforms (AWS, GCP, Azure) and related services (e.g., S3, Data Lakes, IAM security).
- Excellent problem-solving skills—able to balance best practices with real-world constraints and deliver solutions quickly.
- Collaborative mindset with the ability to work across teams and influence key decisions.
- Experience working remotely; prior consulting experience is a plus.
Benefits
- At Servant, we believe in the power of diversity and inclusion. We are an equal opportunity employer and encourage individuals from all backgrounds to apply.
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| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Data Analysis
Data Analysis
|
Salary
💸
unspecified
|
Remote
Location
USA
|
|
Job Type
contract
|
Posted
Mar 29, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
