Databricks Data Architect

Job description

We are hiring a Principal Data Architect — a hands-on, senior individual contributor who will design, build, govern, and evolve the enterprise data platform that serves as the single source of truth for the organization. You will own the architecture end to end: how data is modeled, ingested, transformed, stored, governed, and served to every consumer that depends on it — from executive reporting and operational analytics to business applications and, increasingly, ML and AI systems. This is a data architecture role first. The large majority of your time goes to data modeling, platform design, pipeline engineering, data quality, and governance. A smaller but growing part of it goes to making that foundation AI-ready — so that ML models and AI applications consume governed, documented, trustworthy data instead of building their own shadow pipelines. Key Responsibilities 15+ years of hands-on data engineering and data architecture experience, with a track record of owning enterprise-scale platforms end to end. • Deep data modeling expertise — dimensional, normalized, and Data Vault — with real judgment about grain, conformance, and when each pattern applies. • Proven experience architecting lakehouse and/or data mesh platforms: Databricks, Delta Lake, PySpark, Snowflake, Kafka, Spark Structured Streaming, and cloud-native data services (AWS, Azure). Cisco Confidential Cisco Confidential • Strong command of SQL and performance engineering: query optimization, partitioning and clustering, and cost management at scale. • Demonstrated ownership of data governance, data quality, master data, metadata, and lineage programs — not just the tooling, but the operating model. • Experience with data security and compliance in regulated industries (financial services, payments, cybersecurity, healthcare). • Experience migrating legacy on-prem warehouses and ETL estates to cloud-native platforms. • Working familiarity with the data requirements of ML and AI systems — feature pipelines, training data curation, and retrieval/vector data layers — enough to architect for them credibly and partner well with AI teams Skill Requirements Expert: SQL, Python, PySpark, data modeling, Databricks, Delta Lake, Snowflake, Kafka, Spark Structured Streaming, AWS (S3, Glue, Redshift, Kinesis, EKS, Lambda), Airflow, Terraform, Git-based CI/CD. • Strong: Azure data services, dbt, data quality frameworks (Great Expectations or equivalent), catalog and lineage platforms (Unity Catalog, Collibra, Alation, Purview), MDM tooling, BI semantic layers (Power BI, Tableau, Looker), Docker, Kubernetes, FastAPI, observability tooling (Grafana, CloudWatch). • Familiar: MLflow, feature stores, vector databases (OpenSearch, Pinecone, FAISS, ChromaDB), knowledge graphs (Neo4j), LLM APIs and RAG frameworks (LangChain, LlamaIndex, AWS Bedrock, Claude, OpenAI) Other Requirements BS / MS in Computer Science, Information Systems, Data Engineering, or a related quantitative field. • Prior experience at a global financial institution (payments, risk, AML, compliance) or large enterprise SaaS, operating under strict regulatory oversight. • Experience in presales solutioning for large data programs: RFP/RFI responses, SOW shaping, effort estimation, and CXO-level solutioning. • Certifications such as Databricks Data Engineer Professional, AWS Certified Data Engineer or Solutions Architect, or Snowflake SnowPro Advanced Architect. • Familiarity with emerging standards for AI and agent data access (e.g., MCP — Model Context Protocol) and agent entitlement models Maximum Salary (US): Minimum Salary (US): Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Compensation and Benefits A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. 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