Solutions Architect

Sigmoid; Boston (MA); On-site; USD 220,000 - 300,000; Full time

Job summary

Sigmoid seeks an Engineering Leader / Solutions Architect in Boston to drive design, modernization, and scale-out of enterprise data platforms. You will lead architecture, governance, and large-scale delivery across cloud-native lakehouse ecosystems, collaborating with product, analytics, and business teams.

The role requires hands-on leadership, deep data engineering expertise, and able to manage globally distributed teams while delivering secure, scalable data products from Boston or nearby.

Qualifications

• 15+ years of experience in software/data/ platform engineering.

Responsibilities

• Define and drive the roadmap for a unified cloud-native data platform spanning ingestion, transformation, storage, governance, observability, and secure data access.

Skills

Technical leadership

Cloud data platforms

Data engineering

Platform architecture

Snowflake/Databricks

Apache Iceberg

Tools

Snowflake

Databricks

Apache Iceberg

Job description

Sigmoid unlocks business value for Fortune 1000 companies through expert data engineering, data science, and AI consulting. We solve complex challenges for leaders in CPG, Retail, BFSI, and Life Sciences. With 10+ delivery centers in the USA, Canada, UK, Europe, Singapore, and India, we deliver cutting-edge data modernization and generative AI solutions. Join us to shape the future of data-driven innovation!

Why Sigmoid?

• Inc. 500 Fastest-Growing Companies (4 years running)
• Deloitte Technology Fast 500 (4 years running)
• Top Employer: AIM’s 50 Best Firms for Data Scientists
• Recently named British Data Awards Finalist & more accolades on the way!

Accelerate your career with a fast-growing, innovative company.

Engineering Leader / Solutions Architect - Boston

Role Overview

We are looking for a senior Engineering Leader / Solutions Architect to drive the design, modernization, and scale-out of enterprise data platforms within a cloud-native lakehouse ecosystem. The role requires deep expertise across modern data engineering, platform architecture, distributed processing, and large-scale delivery leadership.

The individual will work closely with business, product, analytics, and engineering stakeholders to define scalable platform architectures, establish engineering best practices, and lead globally distributed engineering teams.

Key Responsibilities

Platform Architecture & Strategy

• Define and drive the roadmap for a unified cloud-native data platform spanning ingestion, transformation, storage, governance, observability, and secure data access.
• Architect scalable lakehouse solutions leveraging Snowflake and/or Databricks ecosystems.
• Design interoperable data platforms supporting batch, streaming, and real-time analytics workloads.
• Build and optimize large-scale data platforms, including:
  • Batch and streaming pipelines
  • Data observability frameworks
  • Security and governance controls
• Design and optimize Apache Iceberg implementations including partitioning, compaction, metadata optimization, and multi-engine query performance.

Engineering Excellence & Governance

• Establish engineering best practices across:
  • Infrastructure as Code (Terraform/CloudFormation)
  • Automated testing
• Define data governance standards including schemas, SLAs, lineage, documentation, and access controls aligned with enterprise compliance requirements.

Delivery & Leadership

• Provide hands-on technical leadership across architecture, solutioning, troubleshooting, and engineering execution.
• Partner with product, analytics, ML, and business stakeholders to build governed, scalable data products.
• Manage delivery planning, partner coordination, capacity planning, milestone tracking, and operational excellence.

Platform Operations & Optimization

• Own platform reliability, incident management, root-cause analysis, and continuous operational improvements.
• Drive performance and cost optimization initiatives across cloud infrastructure, data pipelines, and compute workloads.

Experience

• 15+ years of experience across software engineering, data engineering, or platform engineering roles.
• Proven experience transitioning from hands-on engineering into large-scale technical leadership and architecture roles.

Technical Skills -Strong hands-on expertise in

• Snowflake and/or Databricks experience needed , who can develop Lakehouse platforms
• Apache Iceberg experience mandatory

Data Platform & Governance

• Strong understanding of:
  • Catalog and lineage frameworks
• Experience working with:
  • Unity Catalog
  • Hive Meta store or equivalent metadata ecosystems

Domain Experience

• Prior experience within Financial Services / Capital Markets environments preferred.
• Familiarity with domains such as: Securities, Holdings, Benchmarking, Accounts, Products, Wealth & Asset Management platforms
• Strong stakeholder management and communication skills with experience collaborating across engineering, operations, and business teams globally.
• Experience managing offshore-heavy engineering delivery models and cross-functional technical programs.
• Comfortable operating as both a strategic technical leader and hands-on problem solver where required.