About Sigmoid Analytics

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 Sigmoi

d?Inc. 500 Fastest-Growing Companies (4 years runnin g)Deloitte Technology Fast 500 (4 years runnin g)Top Employer: AIM’s 50 Best Firms for Data Scientis tsRecently named British Data Awards Finalist & more accolades on the wa y!Accelerate your career with a fast-growing, innovative company. Apply now and be part of our award-winning tea

m!

Engineering Leader / Solutions Architect - Ontario- Toro

nto Role Over

view 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 leader

ship. 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 Responsib

ilities Platform Architecture &

Strategy

● Define and drive the roadmap for a unified cloud-native data platform spanning ingestion, transformation, storage, governance, observability, and secure dat a access.● Architect scalable lakehouse solutions leveraging Snowflake and/or Databricks ec osystems.● Design interoperable data platforms supporting batch, streaming, and real-time analytics w

orkloads.

Data Engineering & Platform D

evelopment ● Build and optimize large-scale data platforms, including:○ Lakehouse inf rastructure○ Batch and streamin g pipelines○ Metadata/catal og services○ Data observability frameworks○ Security and governan ce controls● Design and optimize Apache Iceberg implementations including partitioning, compaction, metadata optimization, and multi-engine query p

erformance.

Engineering Excellence &

; Governance ● Establish engineering best prac tices a cross:○ CI/CD○ Infrastructure as Code (Terraform/Cl oudFormation)○ Auto mated testing○ Schema management &am p; versioning○ Data qua lity controls○ Platform observability● Define data governance standards including schemas, SLAs, lineage, documentation, and access controls aligned with enterprise compliance

requirements.

Delivery &a

mp; Leadership ● Provide hands-on technical leadership across architecture, solutioning, troubleshooting, and enginee ring 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 operatio

nal excellence.

Platform Operations &a

mp; Optimization ● Own platform reliability, incident management, root-cause analysis, and continuous operatio nal improvements.● Drive performance and cost optimization initiatives across cloud infrastructure, data pipelines, and c

ompute workloads.

Required Experience &a

mp; Qualif

ications Experience ● 15+ years of experience across software engineering, data engineering, or platfor m engineering roles.● Proven experience transitioning from hands-on engineering into large-scale technical leadership and

architecture ro

les.

Technical Skills

Strong

hands-on expertise in: ● Pyt hon / SQL, Apache Spark● Snowflake and/or Databricks experience needed, who can deve lop Lakehouse platforms● AWS clou d ecosystem (preferred)● Apache Icebe

rg experience mandatory Data P

latform & Governance ● Strong underst anding of:○ Data m odeling○ Schema evolu tion○ Metadata management○ Catal og and lineage frameworks○ E

nterprise data governance ● Experience wo rking with:○ Unity Catalog○ AWS Glue Catalog○ Hive Metastore or equi

valent metadata e

cosystems Domain Experience ● Prior experience within Financial Services / Capital Mar kets environments preferred.● Familiarity with domains such as: Securities, Holdings, Benchmarking, Accounts, Products, Wealth &

; Asset Management platforms L

eadership & Collaboration ● 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.