INFOPARK

Solution Architect - Data & AI

Greetings,

We are hiring for the below:

Position: Solution Architect (Data & AI)
Experience: 8+ Yrs
Work Model: Work from Home in India and if needed should be willing to travel onsite in Abu Dhabi
Notice Period: Immediate to 30 days
Mode: Permanent

Job Description

We are looking for an experienced, hands-on Solution Architect (Data and AI) to lead the architecture, design, and delivery of advanced Data and AI solutions for enterprise clients across industries. The role combines technical leadership,strategic consulting, and solution design, ensuring our clients derive measurable business value from their data investments. You will act as a trusted advisor to clients, guide technical teams, and architect best-in-class solutions that leverage the latest in cloud, data, and AI innovation.

Responsibilities:

Solution Design & Architecture
Design end-to-end data and AI architectures across ingestion, transformation, storage, analytics, and ML layers.
Build scalable, cloud-native ecosystems using Azure, Snowflake, and open-source frameworks (Spark, Airflow, Kafka).
Define architecture blueprints, data models, and governance-aligned integration patterns.
Develop AI/ML platforms with MLOps, monitoring, and responsible AI principles.

Technical Leadership
Lead architecture discussions, design reviews, and guide data/ML teams through delivery.
Drive modern data engineering practices (CI/CD, IaC, DevOps).
Evaluate and recommend emerging technologies for enterprise solutions.

Client Consulting & Engagement
Translate business needs into scalable data-driven solutions.
Support pre-sales, RFPs, and executive-level presentations.
Advise on data strategy, architecture roadmaps, and AI adoption frameworks.

Delivery & Governance
Ensure architectural integrity, scalability, and compliance with data privacy standards.
Define best practices, reusable assets, and mentoring frameworks for internal teams.

Key Skills Requirements
Proficient in end-to-end AI architecture (data prep to deployment) with MLOps, Spark, Kafka, Airflow, Hadoop, dbt, and Delta Lake.
Expertise in LLMs, GenAI models, and AI agents using Azure OpenAI, LangChain, and Semantic Kernel.
Experience with RAG pipelines, vector databases, and governance frameworks.
Hands-on expertise in Azure Synapse, Data Factory, Databricks, Purview, and Machine Learning.
Experience with Azure OpenAI, Cognitive Services, and Microsoft Fabric.
Efficiency in data lakehouse design, Snowpark, Streamlit, optimization for large-scale analytics, automation using dbt, Airflow, and Terraform.
Strong programming skills in Python, SQL, and Scala, and experience with API/microservice-based data integration.
Expertise in CI/CD with Azure DevOps, GitHub Actions, Terraform, Docker, and Kubernetes.
Proven client-facing and advisory consulting experience with strong analytical, communication, and stakeholder management skills.
Bachelor’s/Master’s in Computer Science, Data Engineering, or other related fields.
Minimum 8 years of total experience, with at least 2 years in Data/AI solution architecture roles.
Preferred certifications: Azure Solutions Architect Expert, Data Engineer Associate, SnowPro Core, Advanced Architect, and TOGAF (optional).

If interested pls share your updated resume to abirami.s@beinex.com for further process

Data Governance Lead

Greetings,

We are hiring for the below:

Position: Data Governance Lead
Experience: 7+ Yrs
Work Model: Work from Home in India and if needed should be willing to travel onsite in Abu Dhabi
Notice Period: Immediate to 30 days
Mode: Permanent

Job Description

We are looking for an experienced Data Governance Lead to design, implement, and oversee enterprise-wide data governance capabilities across a multi-tenant data platform. The ideal candidate will have strong expertise in data governance frameworks, metadata and cataloguing systems, data quality management, data privacy, and cross-organizational stakeholder leadership.

This role requires establishing governance policies, defining operating models, collaborating with both technical and business teams, and ensuring consistent, compliant data management practices.


Responsibilities
Develop and maintain a comprehensive data governance framework that includes policies, standards, roles, and responsibilities.
Establish a data governance operating model covering stewardship, ownership, approval workflows, and cross-domain accountabilities.
Define guidelines for data classification, retention, data lifecycle, and privacy-by-design practices.
Coordinate governance councils, working groups, and cross-functional governance activities.
Lead the implementation and adoption of enterprise metadata and cataloguing tools (Purview, Informatica, Collibra, or similar).
Define and enforce metadata standards covering technical, business, and operational metadata.
Implement lineage visibility across ingestion, transformation, analytics, and consumption layers.
Ensure metadata is accurate, complete, and up to date across environments.
Define enterprise data quality dimensions, rules, thresholds, and monitoring processes.
Implement data quality scorecards, dashboards, and automated rule enforcement.
Lead root-cause analysis for quality issues and drive remediation initiatives with data owners and engineering teams.
Establish processes for ongoing measurement of data accuracy, completeness, timeliness, consistency, and validity.
Define and enforce data access governance, including approvals, segregation of duties, and usage policies.
Ensure data classification, sensitivity tagging, and privacy constraints are adhered to across all domains.
Collaborate with security, privacy, and legal teams to implement compliant data handling practices.
Support audits, compliance checks, and risk assessments.
Develop governance mechanisms ensuring complete isolation between tenant environments, including metadata, access, and quality domains.
Define standardized onboarding and governance workflows for new business units or entities.
Maintain consistency in governance controls across all tenant environments while supporting entity-specific needs.
Act as the primary point of contact for all governance-related matters.
Partner with data engineering, security, analytics, and business teams to ensure governance controls are embedded end-to-end.
Lead workshops, training sessions, and awareness programs to promote data literacy and governance adoption.
Manage feedback cycles and drive continuous improvement initiatives.
Develop governance playbooks, policy documents, standard operating procedures, and stewardship manuals.
Create onboarding guidelines for new entities or business domains.
Ensure complete knowledge transfer to internal teams, including governance roles, tools, workflows, and best practices.

Key Skills Requirements
7+ years of experience in data governance, data management, or enterprise data leadership roles.
Strong understanding of metadata management, lineage,cataloguing, and data quality frameworks.
Experience implementing or managing data governance platforms (IDMC, Collibra, Purview, Alation).
Strong knowledge of data management best practices (DCAM, DAMA-DMBOK, CDMC, ISO standards).
Deep understanding of data privacy, data classification, retention, and compliance principles.
Experience working with multi-team or multi-entity governance ecosystems.
Strong leadership, communication, and stakeholder management skills.

Preferred Certifications

CDMP (DAMA)
DCAM
Certifications in metadata systems.

If interested or any references pls share your resume to abirami.s@beinex.com with Subject line "Data Governance Lead" for further process