I hope this email finds you well. My name is Piyush Verma, and I am a Lead Technical Recruiter at Empower Professionals Inc. We have a Data Architect with our client which is Remote .If you have a matching candidate please send over a resume, after which I will give you a call to discuss further.
Passport Number is Mandatory
Role: Data Architect Location: Remote Duration: 12+ Months
Requirements: 1. Data Strategy & Architecture Development • Define and implement the data architecture and data strategy aligned with business goals. • Design scalable, cost-effective, and high-performance data solutions using Databricks on AWS, Azure, or GCP. • Establish best practices for Lakehouse Architecture and Delta Lake for optimized data storage, processing, and analytics.
2. Data Engineering & Integration Architect ETL/ELT pipelines leveraging Databricks Spark, Delta Live Tables, and Databricks Workflows. • Optimize data ingestion from sources like Oracle Fusion Middleware, Web Methods, MuleSoft, and Informatica into Databricks. • Ensure real-time and batch data processing with Apache Spark and Delta Lake. • Work on data integration strategies, ensuring seamless connectivity with enterprise systems (e.g., Salesforce, SAP, ERP, CRM).
3. Data Governance, Security & Compliance Implement data governance frameworks leveraging Unity Catalog for data lineage, metadata management, and access control. • Ensure compliance with HIPAA, GDPR, and other regulatory standards in life sciences. • Define RBAC (Role-Based Access Control) and enforce data security best practices using Databricks SQL and access policies. • Enable data stewardship and ensure data cataloging for self-service data democratization.
4. Performance Optimization & Cost Management Optimize Databricks compute clusters (DBU usage) for cost efficiency and performance tuning.
• Define and implement query optimization techniques using Photon Engine, Adaptive Query Execution (AQE), and caching strategies. • Monitor Databricks workspace health, job performance, and cost analytics.
5. AI/ML Enablement & Advanced Analytics Design and support ML pipelines leveraging Databricks ML flow for model tracking and deployment. • Enable AI-driven analytics in genomics, drug discovery, and clinical data processing. • Collaborate with data scientists to operationalize AI/ML models in Databricks.
6. Collaboration & Stakeholder Alignment Work with business teams, data engineers, AI/ML teams, and IT leadership to align data strategy with enterprise goals.
• Collaborate with platform vendors (Databricks, AWS, Azure, GCP, Informatica, Oracle, MuleSoft) for solution architecture and support. • Provide technical leadership, conduct PoCs, and drive Databricks adoption across the organization.
7. Data Democratization & Self-Service Enablement Implement data sharing frameworks for self-service analytics using Databricks SQL and BI integrations (Power BI, Tableau). • Promote data literacy and empower business users with self-service analytics. • Establish data lineage and cataloging to improve data discoverability and governance.
8. Migration & Modernization Lead the migration of legacy data platforms (Informatica, Oracle, Hadoop, etc.) to Databricks Lakehouse. • Design a roadmap for cloud modernization, ensuring seamless data transition with minimal disruption.
Mandatory Key Skills: 1. Databricks & Spark Expertise Strong knowledge of Databricks Lakehouse architecture (Delta Lake, Unity Catalog, Photon Engine). • Expertise in Apache Spark (PySpark, Scala, SQL) for large-scale data processing. • Experience with Databricks SQL and Delta Live Tables (DLT) for real-time and batch processing. • Understanding of Databricks Workflows, Job Clusters, and Task Orchestration.
2. Cloud & Infrastructure Knowledge Hands-on experience with Databricks on AWS, Azure, or GCP (preferred AWS Databricks). • Strong understanding of cloud storage (ADLS, S3, GCS) and cloud networking (VPC, IAM, Private Link). • Experience with Infrastructure as Code (Terraform, ARM, CloudFormation) for Databricks setup.
3. Data Modeling & Architecture Expertise in data modeling (Dimensional, Star Schema, Snowflake, Data Vault). • Experience with Lakehouse, Data Mesh, and Data Fabric architectures. • Knowledge of data partitioning, indexing, caching, and query optimization.
4. ETL/ELT & Data Integration Experience designing scalable ETL/ELT pipelines using Databricks, Informatica, MuleSoft, or Apache NiFi. • Strong knowledge of batch and streaming ingestion (Kafka, Kinesis, Event Hubs, Auto Loader). • Expertise in Delta Lake & Change Data Capture (CDC) for real-time updates.
5. Data Governance & Security Deep understanding of Unity Catalog, RBAC, and ABAC for data access control. • Experience with data lineage, metadata management, and compliance (HIPAA, GDPR, SOC 2). • Strong skills in data encryption, masking, and role-based access control (RBAC).
6. Performance Optimization & Cost Management Ability to optimize Databricks clusters (DBU usage, Auto Scaling, Photon Engine) for cost efficiency. • Knowledge of query tuning, caching, and performance profiling. • Experience monitoring Databricks job performance using Ganglia, CloudWatch, or Azure Monitor.
7. AI/ML & Advanced Analytics • Experience integrating Databricks ML flow for model tracking and deployment. • Knowledge of AI-driven analytics, Genomics, and Drug Discovery in life sciences.
Thanks Piyush Verma Lead Technical Recruiter | Empower Professionals piyush@empowerprofessionals.com |Official Phone: 732-356-8008 x 350 ————————————————————————————————————- Fax: 732-356-8009 | 100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873 www.empowerprofessionals.com Certified NJ and NY Minority Business Enterprise (NMSDC)
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