- Company Name
- Invenergy
- Job Title
- Director, Enterprise Data Architecture
- Job Description
-
Job Title: Director, Enterprise Data Architecture
Role Summary:
Lead the design, implementation, and governance of enterprise-wide data architecture to enable scalable, secure, and cost‑optimized data storage, processing, and delivery across on‑prem and cloud environments. Serve as a strategic partner to IT, business, and operations leaders, driving cloud adoption, data governance, and value generation through advanced analytics, AI/ML, and reporting capabilities.
Expectations:
- Establish and evolve the enterprise data architecture vision and roadmap.
- Align architecture decisions with business analytics, AI/ML, and reporting requirements.
- Mentor and build a high‑performing data architecture and engineering team.
- Champion data governance, stewardship, and quality across the organization.
- Optimize data platform costs and operational performance.
- Influence cross‑functional stakeholders on data asset value and architecture strategy.
Key Responsibilities:
1. **Enterprise Data Strategy & Architecture**
- Define vision, roadmaps, and reference models for enterprise data architecture.
- Ensure scalable, secure, and cost‑effective data storage, access, and processing on hybrid cloud/on‑prem platforms.
- Partner with business leaders to align architecture with analytics, reporting, and AI/ML needs.
2. **Data Engineering & Pipelines**
- Oversee design and delivery of enterprise‑grade batch and real‑time pipelines for ingestion, transformation, and consumption.
- Establish metadata management, lineage tracking, and performance optimization best practices.
- Evaluate and implement modern data technologies (streaming, orchestration, API integration).
3. **Governance & Compliance**
- Drive adoption of enterprise‑wide data governance frameworks, policies, and standards.
- Ensure compliance with regulatory requirements and industry best practices.
- Champion data stewardship and quality initiatives in partnership with business and governance leaders.
4. **Cost Optimization & Operations**
- Implement cost‑effective data management strategies, including cloud cost governance and resource optimization.
- Establish monitoring and optimization processes for data infrastructure performance and spend.
- Partner with Finance and Procurement on data platform contracts and usage.
5. **Leadership & Collaboration**
- Build, mentor, and lead a team of data architects and engineers.
- Act as bridge between IT front office leadership and back‑end teams, ensuring alignment of business needs with technical delivery.
- Influence cross‑functional stakeholders on the value of enterprise data assets and architecture.
Required Skills:
- 10+ years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, and database architecture.
- 3+ years with Microsoft BI stack (SSIS, ADF) or equivalent commercial ETL platforms.
- Expertise in data warehousing concepts, relational data models, and multiple modeling techniques.
- Deep knowledge of data ingestion design, transformation, and pipeline architecture.
- Strong understanding of SDLC best practices with emphasis on DW/BI.
- Demonstrated experience building and supporting mission‑critical BI/data analytics applications in large or high‑growth organizations.
- Forward‑thinking, strategic mindset with a passion for emerging technologies and innovation.
- Cloud‑first technology experience and ability to evaluate modern data solutions.
- Excellent written, verbal, and interpersonal communication; ability to engage all organization levels.
- Proven problem‑solving, decision‑making, and leadership skills.
- Strong organization, task, and project management abilities.
- Flexibility to adapt to changing priorities.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field.
- Professional certifications in data engineering, cloud platforms (e.g., Azure Data Engineer Associate, AWS Big Data Specialty) or related domains are preferred.