Senior Data Architect

Creative Synergies Group Overview Creative is a leading Global Technology Services firm delivering innovative solutions that build upon synergies between our Deep Engineering Domain Expertise and Digital Engineering Services We work with clients across the Global Transportation, Energy/Process, Industrial Products, Hi-Tech, and EdTech verticals Creative’s global team of 1,500+ “Can-Do” engineers collaborate with our 40+ Fortune 500 clients to help them achieve their strategic and operational objectives (Including Google, GM, Samsung, Tesla, Mercedes, Sony, Mitsubishi)95% of our revenue comes from US, Europe, Japan based customers Service Offerings: Data, Analytics, and AI Engineering Services Digital Product and Platform Engineering Intelligent Connected Product Engineering. Vehicle Centric Electronics Connected Car Solutions Mobile Robotics Industrial IoT Digital Manufacturing Digital Plant Engineering Founder / CEO: Dr. Mukesh Gandhi Former Michigan State University Professor (1984 - 1999) Published Ground-Breaking Technical Publications and Books Supervised PhD, Masters and Undergraduate Research Students - Who Are Now Leaders and Decision Makers In Industry And Academia Awarded Over $15 Million For Pioneering Research from National Science Foundation (NSF), US Army Research Office (ARO), Defense Advanced Research Projects Agency (DARPA), US National Institute of Standards and Technology (NIST) Founder / CEO of Quantech Global Services Pioneering US-Indian Services company to serve major global automotive OEMs (GM, Ford, Nissan, Peugeot) from India-based delivery centers in the early 2000s Acquired by Wipro (NYSE:WIT) Former Wipro, EDS Chief Executive Founded Creative Synergies Group In 2011 Locations: Headquartered in the U.S., multiple delivery centers in India (Bengaluru, Pune), branch offices in Germany, U.K, Netherlands and Japan Culture: Creative has a flat organization and an agile culture of positivity, entrepreneurial spirit, customer centricity, teamwork, and meritocracy Creative Synergies Group 3 Year Vision Continue growing overall business at 40% per year for the next 3 years Establish Leadership in AI/ML Engineering Services Substantially expand revenues in Electronics, Connected Vehicle Solutions, Mobile Robots, Industrial IoT Meaningfully expand into EdTech Explore niche acquisitions in the U.S. About the Role: We are seeking an experienced Senior Data Architect who possesses a comprehensive skill set encompassing Data Architecture, Data Engineering, and Data Modeling to join our team. This is a hands-on role where you will be responsible for overseeing the design, implementation, and governance of our Enterprise Data Model within a Data Lake at an enterprise scale. You will also serve as the primary guardian of the Enterprise Data Model , ensuring adherence to best practices in data governance, quality, and architecture. As a key member of the data team, you will collaborate closely with business stakeholders, cross-functional data teams, and subject matter experts (SMEs) to implement data solutions that support data-driven decision-making at scale. Key Responsibilities: Data Architecture & Modeling: Lead the design and implementation of Enterprise Data Architecture and Data Modeling strategies for a scalable Data Lake at an enterprise level. Act as the primary guardian of the Enterprise Data Model and ensure consistency across all data domains. Develop and govern Data Models including Star Schema, Data Vault Methodologies , and Analytical/Semantic Models to support business and analytical needs. Collaborate with business stakeholders and data teams to define and implement Data Architecture Principles that align with organizational goals. PostgreSQL Management: Work with very large datasets (hundreds of millions of records) efficiently and reliably. Expertise in PostgreSQL clustering, replication and high-availability configurations Familiarity with PostgreSQL backups, recovery procedures and disaster recovery strategies. Experience in managing and optimizing PostgreSQL database performance, including query optimization, indexing and partitioning. Lead efforts to harden PostgreSQL environments against internal and external threats Define and enforce database security policies, including role-based access control, encryption, and auditing Governance & Standards: Promote and enforce Data Governance , Data Quality , and Model Governance practices across critical data projects. Work with stakeholders to ensure the application of Data Architecture Policies , Standards , and Guiding Principles in all data-related projects. Ensure the Reference Architecture is adhered to by all teams. Collaboration & Consultation: Act as a Data and Model Governance Consultant , educating internal teams on data governance, architecture principles, and best practices. Provide technical guidance and support to data engineering teams to ensure compliance with Data & Analytics Principles in areas like new dataset creation, pipeline design, and data integration. Technical Documentation: Write detailed design specifications and documentation to clearly communicate architectural and modeling decisions. Demonstrate design and technology approaches through prototypes and proofs of concept. Optimization & Innovation: Continuously assess and recommend opportunities for Data Architecture Enrichment and Optimization . Work closely with cross-functional data owners, SMEs, and teams to monitor and manage Data Health . Cloud and AI/ML Exposure (Nice to Have): Work on cloud-based data architectures, ensuring integration and alignment with modern cloud technologies (AWS, Azure, or GCP). Exposure to AI/ML frameworks and support integration of advanced analytics into the data platform. Stakeholder Management: Build strong relationships with business and technical stakeholders to understand business needs and deliver data solutions that support organizational goals. Communicate complex data architecture concepts clearly and effectively to both technical and non-technical stakeholders. About Candidate: You are an experienced Data Architect with a proven track record of designing and implementing data solutions at an enterprise scale. You possess expertise in data modeling , cloud architecture , and data governance while having hands-on experience with data engineering . You are a problem solver who thrives in a collaborative environment and can effectively manage multiple stakeholders across the organization. Qualifications: Experience : Minimum of 10+ years of experience in data, digital, technology or analytical roles. Expertise in installing, configuring, securing and maintaining PostgreSQL databases. Deep understanding of networking concepts, including setting up PostgreSQL replication (master-slave, master-master), failover and clustering. Expertise in query performance tuning, using tools like pg_stat_statements, EXPLAIN ANALYZE and server settings to optimize database performance. Experience with PostgreSQL-specific tools such as pgAdmin, pgBouncer, pgBadger, pg_repack etc. Extensive experience in Data Architecture Design, Data Modeling , including Star Schema , Data Vault and Analytical/Semantic Models with Peformance Tuning Expertise in industry-standard data modeling tools such as Erwin . Solid understanding of Data Platform and Data Warehouse frameworks, including data integration patterns and architecture. Collaborate with DevOps and application teams to optimize query performance and database architecture Conduct regular security assessments, patching, and vulnerability remediation Automate monitoring, backups, and failover strategies using industry best practices Provide expert-level troubleshooting and root cause analysis for database-related incidents Experience in Cloud Architecture (AWS, Azure, GCP) and modern data platforms such as Snowflake . Experience working with metadata management , including business and technical metadata , data cataloging , quality , governance , taxonomy , and ontology . Technical Skills : Strong knowledge of Data Governance , Data Quality , and Data Modeling best practices. Hands-on expertise in Cloud-based Architecture (AWS, Azure, GCP). Experience in integrating AI/ML frameworks into data platforms. Ability to write clear design specifications and technical documentation. Proven ability to mentor and guide teams on Data Architecture Principles . Certifications : Relevant certifications in Cloud-based Architecture (AWS, Azure, or GCP) are a plus.