Data & Analytics Solutions Architect (Hadoop + Big Data)

* 14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.

* Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.

* Experience designing and implementing large-scale Big Data and Data Lake architectures supporting analytics, reporting, and AI workloads.

* Strong understanding of Hadoop platform architecture, including HDFS, YARN, high availability, cluster management, workload optimization, and scalability.

* Expertise in batch and distributed data processing using Spark, Hive, HBase, and MapReduce frameworks.

* Experience building data ingestion and streaming solutions using Kafka and Hadoop ecosystem tools.

* Strong knowledge of Data Engineering practices, including ETL/ELT, data integration, data quality, metadata management, lineage, observability, and DataOps.

* Experience with Data Lake, Data Warehousing, Enterprise Data Models, Master Data, and Data Governance frameworks. * Strong understanding of security and governance controls, including Kerberos, Ranger, encryption, privacy, auditability, compliance, and controlled data access.

* Proven experience in architecture definition, HLD/LLD creation, migration planning, technical governance, production readiness, and performance optimization.

* Experience supporting platform modernization, cloud adoption, solutioning, effort estimation, and client-facing technical discussions.

* Good understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.

* Bachelor's degree in Computer Science, Engineering, Information Systems, Data Management, or a related discipline.

* Preferred certifications in Hadoop, Spark, Cloud Data Engineering, Enterprise Architecture, Data Management, Security, or Big Data Platforms.

* Engage with business and technology stakeholders to understand business objectives, data platform requirements, and modernization goals.

* Define end-to-end architecture for Hadoop and Big Data platforms supporting analytics, reporting, and AI workloads.

* Design scalable, secure, and high-performance Hadoop ecosystems using HDFS, YARN, Spark, Kafka, Hive, and related technologies.

* Architect data ingestion, batch processing, streaming, and data lake solutions for enterprise- scale environments.

* Define data models, data lake zones, governance frameworks, metadata management, lineage, and security standards.

* Lead Hadoop modernization, migration, and platform optimization initiatives to improve performance, scalability, and operational efficiency.

* Establish architecture standards, reusable frameworks, engineering best practices, and DataOps operating models.

* Provide technical leadership across solution design, implementation, testing, migration, deployment, and production support activities.

* Conduct architecture reviews, identify risks and dependencies, and guide teams on mitigation strategies and best practices.

* Drive performance tuning, capacity planning, reliability improvements, and infrastructure cost optimization.

* Collaborate with data en gineers, platform teams, architects, vendors, and client stakeholders to deliver enterprise data solutions.

* Support solutioning, RFP responses, effort estimation, technical presentations, and client workshops.

* Mentor architects and engineers and contribute to hiring, capability development, and knowledge-sharing initiatives.

* Develop reusable accelerators, reference architectures, implementation frameworks, and technical best practices for Big Data platforms.

* Strong leadership and stakeholder management skills with the ability to work effectively across business, engineering, architecture, and delivery teams.

* Excellent communication and presentation skills for technical, business, and executive audiences.

* Strong problem-solving and consulting mindset with the ability to evaluate options and recommend practical solutions.

* Ability to lead cross-functional and distributed teams in a collaborative environment.

* High ownership, accountability, and attention to detail with a focus on quality delivery.

* Strong planning, prioritization, and decision-making skills while managing multiple initiatives and stakeholders.

* Experience mentoring architects and engineers and driving adoption of best practices.

* Ability to proactively manage risks, dependencies, and escalations to ensure successful project delivery.

* Strong client-facing experience supporting workshops, architecture reviews, solution presentations, and executive discussions.

* Adaptability to work in fast-paced environments with evolving business and technology priorities

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $130,000 - $170,000 a year

Desired Candidate Profile