Solution Architect - AI Data Engineering

Full Description

Qualifications: •10+ years of experience in data architecture, with 3–5 years in AI/ML or analytics-focused environments.•Expertise in data modeling (conceptual, logical, physical), normalization, denormalization, and schema design.•Deep knowledge of big data ecosystems (Hadoop, Spark, Flink) and ETL/ELT strategies.•Strong experience with cloud data services (AWS, Azure, GCP) and cloud-native architecture.•Proficiency in relational (PostgreSQL, Oracle), NoSQL (MongoDB, Cassandra), and analytical databases (Snowflake, Redshift).•Familiarity with vector databases (Pinecone, FAISS), graph databases (Neo4j), and time-series databases.•Experience with data integration tools (Informatica, Talend, ADF, Glue) and messaging systems (Kafka, MQ).•Understanding of RESTful APIs, data services, and microservices for data access.•Knowledge of data governance, cataloging, lineage, and quality frameworks (e.g., Collibra, Great Expectations).•Strong grasp of data security, encryption, access control, and compliance standards (GDPR, HIPAA, SOX).•Excellent communication and stakeholder management skills; ability to lead workshops and present to executives.•Experience leading technical teams and overseeing architecture implementation.•Strong analytical and problem-solving skills for diagnosing and resolving data architecture challenges.•Broad domain knowledge across BFSI, Healthcare, Manufacturing, Retail, and Telecom.•Familiarity with project management practices and agile delivery.•Continuous learning mindset with awareness of emerging technologies (e.g., lakehouse, data mesh, edge computing).•Certifications (nice-to-have): AWS Certified Data Analytics – Specialty, Azure Data Engineer/Architect, Cloudera CCP Data Engineer.

Job Type: Full-time

Pay: $116,484.98 - $178,250.00 per year

Schedule:

• 8 hour shift

Work Location: Remote