At Verndale, we are building a next-generation Data & Analytics practice designed to help organizations transform their complex data ecosystems into engines of clarity and intelligent action.
Our vision is to empower clients to unlock hidden opportunities, optimize operations, and accelerate profitable growth through modern data architectures, trusted data management, advanced analytics, and AI-driven solutions.
As part of a digital experience services firm with a strong heritage in customer experience and marketing technology, our Data & Analytics team extends Verndale's core capabilities to deliver seamlessly integrated, insight-driven solutions that fuel personalization, operational excellence, and strategic foresight.
We are pragmatic innovators, grounded in Verndale's entrepreneurial culture, who design scalable, well-governed data platforms and embed intelligence into business workflows, enabling clients to thrive in the era of generative AI and beyond.
ResponsibilitiesArchitect and design modern cloud-based data platforms (Snowflake, Databricks, AWS, Azure, GCP) that support enterprise-scale analytics, AI/ML, and digital experience solutions
Define logical and physical data models, dimensional models, data standards, and architecture blueprints to ensure scalability, reliability, and security
Lead the design and implementation of data ingestion, integration, and transformation pipelines (ETL/ELT) leveraging tools like dbt, Fivetran, or equivalent
Partner with clients to assess current-state architectures, identify pain points, and design future-state roadmaps aligned with their business objectives
Establish and enforce data governance, metadata management, and data quality frameworks to ensure trusted, well-documented, and compliant data assets
Collaborate with analytics leads, engineers, and client stakeholders to translate complex requirements into actionable, sustainable solutions
Drive innovation in data & AI strategy: assess emerging technologies (e.g. GenAI, RAG, MLOps) and help incorporate them into client or internal roadmaps
Support proof-of-concept initiatives, platform evaluations, and migration strategies (e.g., legacy data warehouse to cloud) with a focus on speed-to-value
Participate in pre-sales and client workshops, contributing architecture expertise to solution shaping, scoping, and estimation
Mentor engineers and analysts, providing architectural oversight to ensure delivery excellence
Qualifications
7+ years of experience in data architecture, engineering, or solution design, with demonstrated success delivering modern data platforms at scale
Strong expertise in cloud data platforms (Snowflake, Redshift, BigQuery, Databricks, Synapse) and modern data ecosystem components (streaming, orchestration, MDM, cataloging)
Proficiency in designing end-to-end architectures, including ingestion, storage, processing, semantic layers, and analytics enablement
Hands-on skills in SQL, Python, or Java; experience with distributed processing frameworks (e.g., Apache Spark, Presto, EMR)
Design and implement scalable data architecture using Medallion Architecture (Bronze, Silver, Gold layers) to transform raw data into curated, business-ready datasets
Familiarity with containerization and orchestration (Kubernetes, Docker, ECS) and modern workflow tools (Airflow, dbt, Dagster)
Experience implementing data security, compliance, and governance standards (RBAC, data privacy regulations, lineage, observability)
Exposure to big data frameworks like Spark (PySpark), Hadoop ecosystem, Flink, or similar
Proven ability to lead client-facing workshops, communicate tradeoffs, and gain alignment on solution design
Leverages generative AI tools (e.g., ChatGPT, Gemini, Claude) to accelerate solution design, documentation, and architecture decision-making
Experience working in consulting or digital services environments, balancing technical rigor with pragmatic delivery
Nice-to-Have Skills
Exposure to DXP ecosystems (Sitecore, Optimizely, Salesforce Marketing Cloud) and integrating marketing/customer data platforms
Knowledge of machine learning, AI, and GenAI use cases, with the ability to design data architectures that support model training, deployment, and monitoring
Familiarity with real-time data streaming and event-driven architectures (Kafka, Kinesis, Pub/Sub)
Background in data monetization strategies (e.g., building data products, APIs, insights-as-a-service)
Experience in pre-sales, partner ecosystem collaboration, or solution accelerators with Snowflake, Databricks, or hyperscalers
Contributions to community (open source, thought leadership, conferences) reflecting a passion for innovation in data & analytics
Ten Great Reasons to Work at Verndale
We are a rapidly growing company that is just as entrepreneurial today as when we were founded in 1998
We are relentlessly curious and enthusiastically solve our clients' complex business problems through technology, data, and design
We foster a culture that enables every person in the organization to do the best work of their career
We offer regular training and professional development to move careers forward
Client and employee satisfaction are our two most important business metrics
We celebrate and champion diversity, equity, and inclusion
We offer generous paid company holidays, vacation, and paid sick time to every employee starting on day one
We provide top-of-the-line benefits including health, dental, vision, 401K, LTD, STD, Life Insurance, EAP, HRA and more
We support a healthy work/life balance
We are fully remote enabled and embrace the evolving definition of the workplace
About Verndale
Verndale is a digital experience agency dedicated to driving growth by helping businesses create meaningful human connections in an increasingly digital world.
With offices in Boston, Montreal, Los Angeles, Quito, and hubs across the Americas, we partner with marketing and technology leaders to deliver personalized web, mobile, and ecommerce solutions that elevate customer experiences.
At Verndale, we thrive on collaboration and innovation, offering a full range of services that span strategy, design, development, personalization, SEO, analytics, and digital advertising.
If you're ready to be part of a passionate team dedicated to making an impact and driving growth, we invite you to explore a career at Verndale.
Verndale is proud of the fun, diverse, and respectful company environment we enjoy on a daily basis.
Verndale is an Equal Opportunity Employer.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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