Senior Data Architect

Sigmaways Inc; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A data and analytics firm is looking for a Mid-Senior Level Data Engineer to design and implement robust data solutions using modern tools like Databricks and AWS. The ideal candidate will have over 7 years of experience in data engineering, lead cross-functional teams, and ensure data quality standards are met. Join us to drive business value through effective analytics strategies.

Qualifications

• 7+ years of experience managing projects across design, development, testing, implementation, and production.
• Expertise in building and leading high-performing teams.
• Advanced skills in enterprise consulting and strategic thinking.

Responsibilities

• Design and implement data mesh and data lake solutions in AWS.
• Provide technical leadership and best practices for scalable data solutions.
• Define and enforce data quality standards and governance.

Skills

Project management

Data engineering

Analytics tools expertise

AWS solutions

Team leadership

Education

Bachelor’s degree in Computer Science, Information Systems, or related field

Tools

Databricks

Immuta

Starburst

Collibra

AWS

Job description

Join us to design end to end data and analytics solutions using Databricks, Immuta, Starburst, Collibra, and AWS. In this role, you will develop reusable data management patterns, provide technical leadership to the data engineering team and collaborate with cross functional teams to drive measurable value.

Responsibilities:

• Design and implement data mesh and data lake solutions in AWS using Databricks, Starburst, Collibra, and Immuta.
• Develop reusable data management patterns and participate in architectural reviews.
• Provide technical leadership and set best practices for scalable, secure data solutions.
• Collaborate with cross-functional teams to deliver analytics solutions that drive business value.
• Define and enforce data quality standards, governance, and best practices.
• Optimize pipelines, queries, and infrastructure for performance and efficiency.
• Identify and mitigate data security, compliance, and resilience risks.
• Lead discussions to shape future-state architecture and enterprise strategy.
• Support change management, architecture governance, and IT strategy initiatives.
• Research emerging technologies to modernize and innovate data platforms.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or a related field.
• At least 7 years of experience managing projects across the full lifecycle, design, development, testing, implementation, and production.
• Expertise in data engineering and analytics tools, including Databricks, Immuta, Starburst, Collibra, and AWS.
• Subject matter expertise across multiple solution patterns and architectures.
• Proven experience in building and leading high-performing teams.
• Advanced skills in enterprise consulting, strategic thinking, and emerging technologies.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Banking